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Packaging	strategies	for	Insect	
Packaged	Food	Products
ERASMUS UNIVERSITY ROTTERDAM
Faculty of Economics of Business
Marketing
	
	
	
Supervisor: Dr. Vijay Hariharan
Name: Peng Li
Student number: 358056
E-mail address: william880906@gmail.com
Study: Business and Economics (Marketing)
Thesis: Master
Table	of	Contents	
	
Abstract	
Chapter	1.	Research	Problem	
Chapter	2.	Background	Information	
																	2.1	What	are	insects?	
																	2.2	Why	do	people	eat	insects?					
	
Chapter	3.	Literature	Review		
																		3.1	Prior	studies	for	purchasing	reason		
																								of	Organic	food	study	
																					3.2	Prior	researches	for	brand	name		
																								and	brand	image	study	
Chapter	4.	Theoretical	Framework	and	Hypotheses											
														
Chapter	5.	Experiment	design	
Chapter	6.	Methodology,	Data	and	Hypotheses	Development	
																		6.1	Model	
																		6.2	Data	
																		6.3	Key	variables	
Chapter	7.	Statistical	Results	
																		7.1	Descriptive	analysis	
																		7.2	Empirical	analysis	
	
Chapter	8.	Discussion	and	Conclusion,	Managerial	Implications,	
Limitation	
	
Chapter	9.	Reference	
Chapter	10.	Appendix
Abstract:	
	
This	paper	aims	to	exam	packaging	strategy	for	insect	packaged	food	
products.	 An	 experiment	 is	 carried	 out	 to	 investigate	 that	 which	
kinds	of	packaging	combination	between	brand	name	and	brand	logo	
will	be	suitable	for	consumer.	Furthermore,	we	also	investigated	the	
interaction	effect	between	brand	name	and	brand	logo.
Chapter	1.	Research	Problems	
According	 to	 the	 United	 Nations	 report,	 the	 current	 world	 populations	 of	 7,2	
billion	is	projected	to	increase	by	1	billion	over	the	next	12	years	and	reach	9,6	
billion	by	2050.	(World	population	projected	to	reach	9.6	billion	by	2050	–	UN	
report,	2013)	The	demand	for	food,	feed,	fiber	and	fuel	will	likely	outpace	food	
production	if	the	current	rate	of	output	remains	the	same.	(Koba,	2014)	Global	
food	 shortages	 become	 more	 and	 more	 serious.	 We	 are	 looking	 for	 more	
possibilities	 to	 replace	 the	 food	 we	 are	 eating	 now	 in	 a	 sustainable	 way	 to	
provide	high	nutrition,	but	at	low	cost.	Changes	in	food	consumption	could	solve	
this	issue.	In	this	regard	insects	have	a	high	nutritional	value,	their	cultivation	is	
environmentally	 friendlier	 and	 comes	 with	 great	 socio-economic	 benefits	 for	
many	people	in	the	poorer	regions	of	the	planet.	(Cassimally	K.	A.,	2013)	
	
Over	 2	 billion	 people	 worldwide	 already	 supplement	 their	 diets	 with	 insects.	
Eating	insects	for	human	consumption	is	officially	called	entomophagy.	Globally	
there	 are	 1,417	 species	 of	 edible	 insects	 and	 nearly	 3,000	 ethnic	 groups	 that	
currently	 practice	 entomophagy	 around	 the	 world.	 Most	 of	 these	 insects	 are	
eaten	 in	 the	 larval	 and	 pupil	 stages,	 though	 some	 are	 good	 all	 the	 way	 to	
adulthood.	Beetle	is	on	the	top	of	the	list	of	edible	insects	with	344	variables	to	
choose	from	for	consumption.	Ants,	bees	and	wasps	are	close	behind	with	314.	
Butterflies,	moths,	grasshopper	and	crickets	are	the	other	heavy	hitter.	(Bryant,	
2013)	
	
Let	us	look	at	the	Dutch	market.	Jumbo	is	a	supermarket	chain	in	Netherlands,	
which	 stared	 to	 offer	 edible	 insects	 in	 their	 stores.	 I	 have	 conducted	 a	 short	
interview	with	the	manager	of	Jumbo	in	Buitenveldert,	Amsterdam.	The	manager	
said	that	the	sales	of	insect	products	are	'not	so	positive,	and	they	just	want	to	
put	insect	product	on	the	shelf	to	see	if	the	Dutch	customers	would	like	to	try	the	
new	product'.	The	result	of	that	commitment	remains	unknown	so	far.	From	the	
interview	 with	 workers	 in	 the	 Jumbo	 super	 market,	 it	 was	 found	 out	 that	 the	
sales	were	relatively	negative.	People	are	curious	about	the	product,	but	they	did	
not	buy	it	in	the	end.	This	is	also	a	reason	why	I	explore	what	customers	think	
about	the	insect	products.	What	changes	can	be	still	done	to	improve	the	sales	of
insect	products?	
	
Jumbo	 is	 not	 the	 only	 supermarket	 chain	 in	 The	 Netherlands	 that	 sells	 insect	
products.		Albert	Heijn	also	started	to	sell	diverse	kinds	of	products.	In	the	Dutch	
insect	market,	the	battle	has	just	started	and	supermarkets	do	not	want	to	be	too	
late	to	put	those	products	on	the	shelves.		
	
According	 to	 an	 online	 survey	 by	 Marcel	 Dicke,	 Wageningen	 University,	
Professor	of	Entomology,	70%	percent	of	the	respondent	chose	“definitely”	or	
“probably”	to	indicate	that	they	would	consume	insect	products.	Another	30%	of	
the	participants	choose	not	to.	(Bron,	2014)	As	a	result,	we	see	that	there	are	still	
a	lot	of	people	willing	to	try	and	consume	an	insect	product.		
	
However,	 for	 the	 Netherlands,	 insect	 consumption	 is	 still	 a	 relatively	 new	
subject.	In	Southern	Asia,	Mopani	worms,	the	caterpillars	of	emperor	moths	are	
already	popular	snacks.	The	Japanese	have	been	consuming	aquatic	insect	larvae	
since	ancient	times.	Grasshoppers	are	eaten	in	Mexico.	But	these	traditions	are	
noticeably	 absent	 in	 Europe	 and	 Europe-originating	 cultures,	 like	 the	 United	
States.	“Consumer	disgust”	remains	a	large	barrier	in	many	Western	countries.	
(UN	urges	people	to	eat	insects	to	fight	world	hunger,	2013)	
	
Owing	to	that,	my	research	question	will	be:	What	kinds	of	package	strategy	
can	insect	producing	company	use	to	reduce	the	negative	perception	of	insect	
products	in	order	to	increase	sales?	
	
In	order	to	increase	the	sales	of	insect	products,	I	come	up	with	three	different	
sub-questions:	
1)Which	type	of	brand	name	in	the	packaging	would	consumers	prefer	to	purchase	
more	insect	products?	
2)Which	type	of	brand	logo	in	the	packaging	would	consumers	prefer	to	purchase	
more	insect	products	?	
3)Which	 type	 of	 combination	 between	 brand	 name	 and	 brand	 logo	 would	
consumers	prefer	to	purchase	more	insect	products?
The	reason	why	I	am	going	to	do	this	research	is	that	I	want	to	try	to	analyze,	
what	consumers	think	about	insect	products	and	what	their	opinion	is	affected	
by	and	what	may	change	through	different	display	conditions.	The	main	reason	
is	to	increase	the	sales	of	insect	products	and	find	out	which	package	marketing	
strategy	 is	 the	 best	 for	 the	 company	 to	 get	 positive	 perception	 instead	 of	
negative	one	in	the	consumer’s	mind.	Afterwards	I	will	give	a	recommendation	
for	supermarkets	to	improve	customer	perception	to	get	more	sales.	Besides,	it	is	
interesting	 for	 me	 to	 conduct	 an	 experiment	 with	 different	 advertising	
conditions	to	determine	which	advertising	strategies	are	best	for	manufactures.
Chapter	2.	:	Background	Information	
2.1 What are insects?
Insects	are	the	largest	group	in	the	kingdom	of	animals.	There	are	over	1	million	
of	various	insect	species	on	our	planet,	living	in	every	conceivable	environment	
from	 volcanoes	 to	 glaciers.	 Insects	 help	 people	 in	 pollinating	 food	 crops,	
decomposing	organic	matter,	providing	researchers	with	clues	to	cancer	cures,	
or	 solving	 crime	 cases.	 (Hadley,	 2015)	 One	 can	 find	 insects	 in	 almost	 all	
terrestrial	and	freshwater	habitats,	from	the	driest	desert	to	freshwater	ponds,	
from	the	canopy	of	a	tropical	rainforest	to	areas	of	arctic	waste.	Insects	are	seen	
everywhere	and	appear	in	many	different	shapes	and	forms.	They	share	several,	
easily	recognizable	external	characteristics.		
2.2 Why do people eat insects?
Even	 though	 eating	 insects	 in	 some	 countries	 is	 considered	 unappetizing	 or	
primitive,	there	are	almost	2	billion	people	in	the	world	who	consume	insects	on	
a	regular	basis.		
For	instance,	in	The	Republic	of	Congo	caterpillars	are	available	for	consumption	
reasons	 throughout	 the	 whole	 year	 and	 as	 sold	 in	 the	 local	 markets.	 A	 single	
household	in	the	Congolese	capital	of	Kinshasa	eats	approximately	300	grams	of	
caterpillars	 a	 week.	 This	 equals	 to	 96	 tons	 of	 caterpillars	 consumed	 annually.	
There	are	also	many	other	insects	available	on	the	local	market.	For	instance,	
beetles	 and	 caterpillars	 are	 consumed	 as	 much	 as	 all	 the	 other	 edible	 insects	
combined.	Moreover,	bees,	wasps	and	ants	are	popular	as	well,	accounting	for	
14%	of	the	global	insect	consumption.	(Cassimally,	2013)	Even	though	insects	
are	relatively	popular	in	Africa	and	Asia,	this	is	not	the	case	in	Europe.	People	
still	 find	 the	 consumption	 of	 insects	 odd.	 The	 acceptable	 limit	 of	 insect	
infestation	in	hops	is	2,500	aphids	per	10	grams.	The	permissible	level	of	insect	
infestation	in	canned	fruit	juice	reaches	up	to	1	maggot	per	250	ml	and	for	curry	
powder	up	to	100	insect	fragments	(head,	body,	legs)	per	25	grams	for	chopped	
dates	 up	 to	 10	 whole	 dead	 insects	 is	 the	 acceptable	 number.	 (Alford,	 2014)	
People	 may	 have	 actually	 been	 eating	 insects	 for	 years,	 but	 they	 just	 never	
realized	it.
There	are	many	reasons	why	people	choose	to	eat	insects:	
Health reasons: One	hundred	grams	of	crickets	contains	121	calories.	Only	49.5	
calories	come	from	fat.	The	nutritional	value	is	in	the	12.9	grams	of	protein	and	
75.8	milligrams	of	iron.	They	also	have	about	5	grams	of	carbohydrates.		
	
When	people	would	like	to	watch	their	shape	and	want	to	cut	down	on	the	carbs,	
they	go	with	worm	pupae	or	a	nice	steaming	bowl	of	termites.	Neither	of	these	
has	any	carbohydrates,	nor	they	both	are	a	great	source	of	protein	and	calories.	
But	if	its	protein,	caterpillars	are	the	most	appropriate	choice.	These	little	insects	
pack	a	walloping	28	grams	of	protein	per	100	grams.	They	are	also	loaded	with	
iron,	thiamine	(B1)	and	niacin	(B3).		(Bryant,	2013)	
	
Insects	are	really	good	for	our	health.	”Nutritionally,	insects	are	quite	excellent,”	
says	Arnold	van	Huis,	PhD,	an	entomology	researcher	at	Wageningen	University	
in	the	Netherlands.	There	are	a	number	of	instances	besides	that	which	prove	
that	they	are	even	better	than	normal	meat.	Ounce	for	ounce,	crickets	provide	
more	than	twice	the	protein	of	beef.	Furthermore,	that	protein	is	the	best	kind	on	
the	top	of	it,	containing	all	nine	essential	amino	acids.	Crackers	have	around	five	
times	as	much	magnesium	as	beef	does.	(Carter,	2014)	
	
Magnesium	in	the	food	can	decrease	heart	diseases	about	22	percent.	Research	
in	 Japan	 has	 shown	 that	 you	 can	 lower	 the	 risk	 of	 getting	 a	 heart	 disease	
approximately	33	percent.	Crickets	have	3	times	more	iron	than	beef.	The	author	
of	 the	 Edible	 also	 says	 that	 you	 are	 eating	 ones	 and	 organs,	 which	 deliver	
calcium,	iron,	vitamin	B12,	and	zinc.	That	equals	the	whole	amount	of	nutritional	
elements	as	for	adult	cattle.	(Huis,	2013)	
	
The	 following	 table	 also	 shows	 that	 adult	 locusts	 and	 grasshoppers	 have	
comparable	levels	of	protein	as	raw	beef	does.	And	we	see	also	that	the	insects	
make	up	sizeable	portion	of	the	daily	needed	dose	of	protein,	calcium,	zinc	and	
iron.	.	(Brown,	2013)
Table	1:	
	
	
	
As	for	the	health	motives,	we	also	know	that	insects	are	taxonomically	distant	
from	humans,	which	makes	them	less	possible	to	transmit	diseases	to	humans.	
We	all	know	the	SARS,	H5N1,	and	'mad-cow'	cases,	which	originate	from	animals	
and	 they	 share	 some	 related	 bacteria	 to	 humans,	 transmitted	 due	 to	 bad	
manners	 of	 preservation	 or	 cooking.	 They	 unwittingly	 cause	 diseases.	
Furthermore	we	can	read	from	the	chart,	that	insects	can	also	provide	us	daily	
nutrition	demand.	If	we	can	start	to	eat	insects,	we	can	avoid	some	diseases	by	
the	same	token.		
Environmental reasons: eating	insects	is	also	good	for	the	environment.	Unlike	
chickens,	pigs,	and	cows	-	crickets	create	a	fraction	of	the	green	house	gases.	A	
single	 pound	 of	 beef,	 by	 comparison,	 requires	 thousands	 of	 gallons	 of	 water-
2,600	 to	 5,200,	 according	 to	 the	 estimate	 from	 U.N.	 food	 and	 the	 Agriculture	
Organization.	Cattle	take	two	to	three	years	to	reach	slaughter	weight;	crickets	
grow	from	egg	to	adulthood	in	seven	weeks.	(Carter,	2014)	Insects	that	are	kept	
for	breeding	also	emit	considerably	fewer	green	house	gases	than	most	livestock	
and	require	much	less	space.		
	
A	 Wageningen	 University	 research	 team	 has	 for	 the	 first	 time	 quantified	 the	
greenhouse	gases	produced	per	kilogram	of	insect	product.	The	gases	concerned	
were	 methane	 (CH4)	 and	 nitrous	 oxide	 (N20).	 The	 result	 showed	 that	 insect	
produce	 much	 smaller	 quantities	 of	 greenhouse	 gases	 than	 conventional	
livestock.	 For	 example,	 a	 swine	 produces	 between	 ten	 and	 hundred	 times	 as	
much	greenhouse	gases	per	kilogram	compared	with	mealworms.	The	emission	
of	ammonia	appears	to	be	significantly	lower.	A	swine	produces	between	eight	
and	twelve	time	as	much	ammonia	per	kilogram	of	growth	compared	to	crickets,	
and	up	to	fifty	times	more	than	locusts.	Another	advantage	is	also	that	insects	
convert	their	food	quicker	into	meat	than	conventional	livestock.	(Huis,	2013)	
The	results	can	be	seen	in	the	table	below.	
	
	
Because	 insects	 are	 cold-blooded,	 they	 require	 less	 energy	 to	 maintain	 the	
internal	body	temperature.	Therefore,	they	are	more	efficient	at	converting	food	
into	protein.	Crickets,	for	example	need	twelve	times	less	food	than	cattle,	four	
times	less	than	sheep,	and	half	as	much	as	swine’s	and	broiler	chicken	in	order	to
produce	the	same	amount	of	proteins.	Also	the	costs	of	gathering	insects	(as	is	
the	practice	in	the	developing	countries)	or	producing	them	at	a	larger	scale	are	
relatively	low.	
Livelihood reasons (economics	and	society):	insect	harvesting	is	a	low-tech,	low	
capital	investment	option	that	offers	entry	even	to	the	poorest	section	of	society,	
such	 as	 the	 landless.	 Small	 amounts	 of	 insect	 livestock	 offer	 livelihood	
opportunities	for	both	urban	and	rural	people	in	developing	countries.		
	
Insects	can	be	low-tech	or	not	very	sophisticated,	depending	on	the	level	of	the	
investment.	At	the	same	time,	the	insect	products	also	offer	important	livelihood	
diversification	strategies.	Insects	can	be	directly	and	easily	collected	in	the	wild.	
Producers	 of	 this	 livelihood	 can	 improve	 the	 diets	 and	 provide	 cash	 income	
through	 the	 selling	 of	 excess	 production	 as	 street	 food.	 It	 also	 gives	 a	 good	
opportunity	for	entrepreneurship	and	does	not	need	a	big	investment	to	start.	
The	 whole	 production	 process	 and	 the	 business	 chain	 are	 fairly	 easy	 in	 rural	
areas.
Chapter	3.	Literature	Review	
There	is	not	a	lot	of	research	about	insect	product	consumer	behavior	analysis.	
But	there	are	a	lot	of	papers	about	organic	food.	Insect	food	products	and	organic	
food	 both	 are	 the	 alternative	 way	 for	 current	 food	 methods.	 I’m	 going	 to	
stimulate	 organic	 product	 papers	 with	 my	 research.	 	 Consumer	 perceptions	
about	organic	food	and	insect	food	are	quite	complex,	which	need	advertising	
efforts	to	convince	the	potential	buyers.		
	
3.1	Prior	studies	for	purchasing	reason	of	Organic	food	study:	
Hendrik	 (Ophuis,	 1997)	 in	 Netherlands	 did	 research	 about	 health-related	
determinants	 of	 organic	 consumption.	 According	 to	 his	 study,	 organic	 buyers	
appear	to	be	health-conscious.	They	find	health	very	important	for	themselves,	
and	they	think	what	they	eat	affects	their	health.	Also,	they	know	more	about	
nutrition	than	non-buyers,	and	they	do	not	mind	eating	something	else	if	they	
agree	 that	 this	 can	 improve	 their	 health.	 They	 are	 willing	 to	 make	 sacrifices	
regarding	money	or	the	appearance	of	the	product	to	obtain	natural	and	healthy	
food.	Health	is	a	more	important	motive	for	the	incidental	buyer	of	organic	food;	
this	 is	 why	 a	 lot	 of	 surveys	 did	 not	 focus	 on	 health,	 as	 buyers	 are	 likely	 to	
conclude	that	health	is	the	most	important	reason	for	people	to	buy	organic	food.	
It	should	be	noted	that	age	might	be	a	confounding	reason	in	determining	the	
relative	importance	of	health	and	environment	for	organic	food	buying.	
	
Shepherd	 and	 Magnusson	 (Richard	 Shepherd,	 2005)	 did	 research	 about	
consumer	 behavior	 and	 purchase	 intention	 for	 organic	 food.	 His	 conclusion	 is	
that	consumers	were	satisfied	with	organic	food	for	variety	of	reasons.	Health	
content	 came	 first	 in	 mind	 over	 environmentally	 safe,	 satisfies	 changing	 taste,	
attitude	of	the	customers,	and	helps	in	maintaining	the	status	in	society.	Quality	
of	the	product	was	also	a	very	important	factor	for	consumers	of	organic	food.	
Consumers	think	that	organic	food	is	costly,	but	at	the	same	time,	they	believe	
that	the	higher	price	can	be	introduced	because	of	the	healthy	content	and	the	
eco-friendliness	of	a	product.	Consumers	did	not	stick	to	organic	food	purchases	
only.	 They	 bought	 un-organic	 food	 in	 combination	 with	 organic	 food.	 It	 also	
showed	that	the	quantity	of	organic	food	purchased	depends	on	the	educational
level.	The	customers	are	willing	to	buy	organic	food	because	of	the	benefits.	The	
retailers	have	to	keep	tell	their	consumers	about	these	benefits.	After	this	study,	
recommendations	 were	 given	 for	 future	 studies	 regarding	 information	 to	 be	
given	 about	 the	 benefits	 of	 organic	 food,	 the	 freshness	 of	 the	 taste	 and	 the	
environmental	 benefits	 also.	 Another	 research	 shows	 that	 health	 is	 a	 more	
important	 influential	 factor	 compared	 to	 environmental	 ones,	 although	 this	
varies	 between	 the	 light	 and	 heavy	 users.	 Health	 benefits	 were	 more	 strongly	
related	 to	 attitude	 and	 behavior	 than	 the	 perceived	 environmental	 benefits.	
However,	 the	 frequency	 of	 performing	 environment-friendly	 behavior	 also	
contributed	to	the	prediction	of	the	purchase	of	organic	food.			
Briz	 (T.Briz,	 2009)	 made	 a	 conclusion	 that	 the	 potential	 gains	 that	 can	 result	
from	efforts	to	improve	consumers	understanding	about	organic	food	and	where	
to	 concentrate	 those	 efforts.	 The	 results	 showed	 that	 awareness	 levels	 are	
different	across	age,	education	and	region	of	the	country.	Education	can	be	the	
most	 influential	 factor	 for	 raising	 awareness.	 Awareness	 levels	 were	 lowest	
amongst	 the	 low	 income	 and	 education	 demographics.	 For	 these	 lower	
awareness	 levels,	 the	 relationship	 between	 awareness	 and	 consumption	 is	
positive.	The	contrast	with	the	high	education	and	income	level	is	a	profound	
item	of	the	downturn	in	the	likelihood	of	consumer	organics.			
	
Regarding	(Roddy,	1996)	investigation	of	the	consumer’s	attitude	and	behavior	
to	organic	food	in	Ireland,	cluster	analysis	methodology	was	applied	regarding	
the	attitude,	which	influences	the	purchasing	behavior	and	the	premium	price	
for	 the	 organic	 food.	 The	 result	 showed	 that	 the	 target	 consumers	 are	 “half-
hearers”,	 ”cost	 conscious”,	 “worriers”,	 “organic	 purist”	 and	 “organic	
conditionals”,	and	that	they	will	be	increasingly	buying	organic	food	in	the	future	
as	well.	The	marketing	strategies	are	trying	to	satisfy	the	needs	of	these	different	
groups.	 The	 main	 issue,	 which	 needs	 to	 be	 confronted,	 is	 the	 price	 and	
availability	 of	 organic	 food.	 Promotion	 also	 needs	 to	 be	 improved	 and	 the	
education	component	should	be	also	taken	into	account.			
	
For	 the	 environment	 content,	 the	 behavior-behavior	 correlations	 are	 stronger
than	belief	behavior.	In	their	papers,	they	also	mentioned	the	project	of	CONDOR,	
which	examine	attitudes	to	processed	food	as	well	as	fresh	organic	food	and	the	
role	of	affective	and	how	to	make	choices.	
	
An	interesting	result	is	that	consumer’s	socio-demographic	characteristics	have	
only	 limited	 influence	 on	 their	 organic	 food	 choice	 in	 Europe.	 Three	 previous	
empirical	 studies	 concluded	 that	 in	 Europe,	 amongst	 socio-demographic	
characteristics,	 only	 age,	 education	 and	 household	 size	 influence	 organic	 food	
choice.	Most	Europe	high-income	consumers	are	more	likely	to	buy	organic	food.	
Their	finding	also	indicates	that	income	has	a	positive	effect	on	the	probability	to	
buy	organic	products.		
	
As	for	the	price	sensitivity,	the	finding	is	that	consumers	who	perceived	the	price	
to	be	high	are	less	willing	to	buy	organic	goods	and	will	consume	fewer	amounts.	
People	with	lower	shopping	frequency	pay	more	attention	to	the	price	of	organic	
food.	 European	 consumers	 are	 willing	 to	 buy	 organic	 good	 mainly	 because	
organic	 food	 is	 healthy	 and	 environmental-friendly.	 And	 the	 importance	 of	
health	has	a	higher	impact	on	the	probability	of	purchasing	behavior	compared	
to	 environmental	 reasons.	 These	 studies	 indicate	 that	 older,	 more	 educated	
consumers	and	those	living	in	larger	householder	are	more	likely	to	buy	organic	
food	 product.	 But	 in	 our	 study,	 none	 of	 the	 socio-demographic	 characteristics	
has	a	statistical	impact	on	either	the	probability	of	buying	organic	food	or	the	
probability	 of	 being	 a	 regular	 consumer.	 Another	 important	 result	 is	 that	 the	
health	 and	 environmental	 benefits	 of	 organic	 food	 product	 perceived	 by	
European	consumers	are	factors	explaining	organic	food	demand.	Moreover,	it	
can	 be	 stated	 that	 health	 benefits	 is	 more	 influential	 than	 the	 environmental	
benefits	in	European	consumers’	choice	of	organic	food.	(Azucena	Gracia,	2008)	
	
Hjelmar	(Hjelmar,	2011)	showed	that	the	availability	of	organic	food	product	is	
very	important;	they	also	found	out	that	most	of	customers	are	pragmatic	and	
they	 do	 not	 like	 to	 go	 to	 several	 different	 stores	 to	 get	 what	 they	 want.	 They	
prefer	 to	 go	 to	 a	 supermarket,	 which	 is	 very	 convenient	 and	 not	 distant.	
Consumers	 also	 believe	 that	 the	 organic	 food	 tastes	 better	 than	 conventional
food.	Organic	food	is	associated	with	high-quality	food	because	it	is	fresh,	local	
and	seasonal.	It	offers	consumers	more	health	benefits	than	conventional	food	
and	is	full	of	nutrition.	Hjelmar	also	showed	that	politically	minded	consumers	
have	more	considerations	when	purchasing	organic	food	products,	for	example,	
health,	animal	welfare,	environment,	freshness	and	national	origin.		
	
Roitnter	(Birgit	Roitner-Schobesberger,	2008)	found	out	that	the	most	buyers	of	
organic	 vegetables	 in	 Bangkok	 are	 older	 and	 have	 higher	 incomes	 than	 the	
people	who	are	not	'organic'	buyers.	It	was	also	mentioned	that	men	in	Bangkok	
seem	to	be	more	likely	to	buy	organic	food	than	women.	More	men	are	willing	to	
pay	a	premium	price	than	women.	Health	benefits	have	been	reported	again	as	
the	main	reason	for	people	who	buy	organic	food.	It	was	found	out	in	this	study	
that	 the	 organic	 benefit	 is	 closely	 associated	 with	 the	 residues	 from	 the	
chemicals	that	are	used	in	the	local	agriculture.		
	
The	 two	 main	 motivations	 for	 consumers	 of	 organic	 food	 are	 freshness	 and	
tastiness.	It	is	also	interesting	that	consumers	are	not	very	clear	about	organic	
labels	according	to	the	results	from	the	paper.	The	main	reason	why	consumers	
do	not	buy	organic	food	is	that	they	do	not	comprehend	the	meaning	of	'organic'.	
It	is	difficult	to	educate	potential	consumers	about	different	“safe	food”	labels.	
This	could	be	an	issue	for	the	development	of	organic	food	in	Thailand.	
	
It	 would	 seem	 useful	 that	 the	 Department	 of	 Agriculture,	 the	 Department	 of	
Agricultural	Extension	and	the	Ministry	of	Health	agree	on	one	label	indicating	
that	foods	comply	with	the	maximum	allowable	residue	limit,	this	label	should	
be	based	on	a	common	control	and	inspection	method.	It	is	also	mentioned	that	
the	reducing	the	number	of	“safe	food”	labels	would	also	allow	organic	labels	to	
position	themselves	more	clearly	by	indicating	more	restrictive	standards.	The	
study	showed	that	organic	labels	do	not	have	a	clear	profile	for	consumers.		In	
his	paper	(Roitner-Schobesberger,	2008),	there	are	also	three	main	motives	to	
purchase	organic	food	in	Bangkok:	the	expected	health	benefits,	the	attraction	of	
new	 products	 and	 the	 search	 for	 tastier	 products.	 Health	 benefits	 have	 been	
reported	as	a	main	motive	for	purchasing	organic	food	by	most	studies.	Health	is
the	one-aspect	that	consumers	are	at	least	willing	to	compromise.	The	second	
important	 motive	 to	 purchase	 organic	 food	 is	 the	 consumers	 search	 for	 new,	
trendy	and	fresh	products.	Freshness	is	generally	a	key	criterion	in	the	purchase	
of	vegetable	and	fruits.	And	the	third	important	motive	is	related	to	the	better	
taste	of	organic	vegetables.		
	
Saleki	 (Zeinab	 Seyed	 Saleki,	 2012)	 found	 out	 that	 the	 relationship	 between	
attitude	 and	 organic	 purchasing	 behavior	 is	 significant	 and	 positive	 for	
consumers	in	Iran.	But	the	relationship	between	subjective	norms	and	attitude	
has	 the	 lowest	 correlation.	 The	 whole	 impact	 (organic	 knowledge,	 price	
consciousness,	 subjective	 norms	 and	 familiarity)	 is	 positive	 and	 significant	
except	for	the	subjective	norms	that	influence	the	organic	buying	behavior,	see	
figure	1	below.			
	
A	 number	 of	 studies	 about	 customer	 satisfaction,	 health	 image,	 demographic	
influence	 and	 price	 have	 contributed	 to	 my	 research	 about	 the	 perception	 of	
insect	 products	 in	 The	 Netherlands.	 A	 questionnaire	 has	 been	 made	 to	 ask	
people	their	opinion	and	to	analyze	these	factors.		
	
3.2	Prior	researches	for	brand	name	and	brand	image	study:		
Park	 (C.	 Whan	 Park,	 1989)	 found	 out	 that	 the	 different	 structures	 of	 a	 brand	
name	have	different	influences	in	the	consumers'	mind.	Symbolic	brand	names	
are	 presented	 to	 a	 consumer	 with	 the	 meaning	 “the	 product	 is	 luxurious,	 has	
high	social	status	and	inexpensive”	by	contrast,	the	used	based	brand	names	are	
not	spontaneously	articulated	by	subjects	when	presented	with	the	lists	of	brand	
names.	 From	 this	 study,	 we	 see	 that	 the	 similarity	 showed	 the	 functional	 and
usage	based	brand	name	were	not	increased	by	the	presence	of	the	brand	name.	
But	 the	 symbolic	 brand	 name	 is	 enhanced	 for	 the	 subject’s	 judgments	 of	 how	
well	the	products	fit	together.	Finally,	we	also	know	from	the	functional	or	usage	
based	brand	name	concepts	are	associated	with	the	common	features.	It	is	called	
a	 “bottom-up”	 type	 of	 process.	 The	 brand	 name	 concept	 is	 descripted	 as	 the	
result	of	promotion	or	being	exposed	to	the	brand	name	by	different	individual	
products.		
	
The	paper	gives	Honda	as	an	example.	Consumers	may	think	of	Honda	as	“small,	
gasoline	 engine	 based”	 because	 they	 relate	 to	 the	 Honda	 motorcycle	 or	 the	
compact	car.	But	when	it	comes	to	the	symbolic	brand	name	concept,	it	follows	
the	“top-down”	which	means	that	the	brand	name	is	difficult	to	describe	with	the	
individual	 features	 and	 may	 be	 understood	 by	 consumers	 with	 a	 unique	
combination	 of	 products,	 persons	 or	 usages	 of	 situation	 settings.	 When	 the	
products	are	positioned	properly,	the	concept	will	be	associated	with	the	right	
understanding	 in	 terms	 of	 meaning.	 They	 also	 give	 suggestions	 for	 further	
research	initiatives	regarding	how	brand	name	concepts	are	initially	formed.	
	
Iglesias	(Iglesias,	2001)	also	points	out	that	the	brand	name	is	very	important	for	
a	company	to	get	differential	advantages.	Nowadays	it	no	longer	offers	previous	
levels	 of	 competitive	 advantages	 from	 improving	 technology	 innovations	 and	
function	 aspects.	 It	 is	 also	 not	 surprising	 that	 there	 are	 some	 famous	 brand	
advertising	campaigns,	which	try	to	focus	on	the	pleasure	of	using	this	product	
instead	 of	 mentioning	 the	 functional	 product	 technical	 characteristics.	 So	 the	
recurring	assumption	is	that	the	differentiation	of	competing	products	is	based	
on	the	symbols,	images	and	feelings	associated	with	the	brand	name	rather	than	
in	the	physical	characteristics	of	the	product	itself.	This	hypothesis	has	not	been	
proven	in	empirical	research	to	date.	In	the	study,	the	hypothesis	is	sufficiently	
supported	 that	 there	 are	 greater	 differences	 between	 the	 brands	 in	 the	 brand	
name	related	than	in	the	product	related	benefits.	
	
Frost	 (Frost,	 2002)	 examined	 the	 effects	 of	 non-product-related	 brand	
associations	on	status	and	conspicuous	consumptions.	The	results	indicate	that
symbolic	characteristics,	self-imaged	brand	image	congruency	and	brand	feeling	
were	 the	 strongest	 related	 to	 a	 brand	 and	 consumption	 related	 to	 a	 certain	
brand.	 It	 is	 important	 to	 know	 that	 the	 key	 brand	 association	 consumers	
perceived	 to	 be	 important	 in	 the	 process	 of	 the	 status	 consumption	 and	
conspicuous	consumption.	We	can	also	say	that	if	consumers	do	not	consider	a	
brand’s	symbolic	characteristics,	self-imaged	and	brand	image	congruency	and	
brand	feelings	to	be	important,	then	it	is	more	likely	to	happen	that	they	do	not	
perceive	 this	 brand	 to	 possess	 status	 or	 to	 be	 suitable	 for	 a	 conspicuous	
consumption.	The	study	also	showed	that	people	do	not	have	to	be	familiar	with	
a	band	to	identify	a	brand	as	a	status	brand	to	buy	it.	Consumers	can	recognize	
the	brand	name	and	brand	image	without	being	familiar	with	the	other	aspects	
of	a	brand.	It	will	not	affect	consumers’	ability	to	identify	certain	brands.	If	they	
find	 meaningful	 symbolic	 characteristics,	 if	 their	 self-image	 is	 congruent	 with	
that	 of	 the	 brands	 image	 and	 if	 they	 have	 positive	 strong	 feeling	 towards	 the	
brand,	 then	 the	 status	 attributed	 and	 conspicuousness	 of	 consumption	 of	 the	
brand	will	not	be	affected.	Also	the	brand	familiarity	can	vary	from	recognizing	
packaging,	identifying	with	the	brand’s	image	or	personality,	to	knowing	where	
the	brand	is	sold,	how	much	it	costs,	how	broad	the	range	of	products	is	and	the	
overall	quality	and	durability.	
	
There	 are	 also	 some	 papers	 about	 how	 to	 deliver	 positive	 or	 negative	
perceptions	 to	 your	 customers.	 Rechard	 and	 Lee	 found	 out	 that	 the	 effects	 of	
negative	 political	 campaigns	 that	 attack	 ads	 are	 more	 memorable	 than	 the	
typical	positive	ads.	Bias	based	on	these	political	campaigns	inevitably	distorts	
perceptions	 of	 the	 prevalence	 of	 negative	 campaigning.	 And	 the	 social	 science	
research	 provide	 some	 evidence	 that	 the	 mechanisms	 through	 which	 negative	
campaigning	is	supposed	to	work	do	in	fact	operate,	but	there	is	an	overriding	
lack	of	evidence	that	negative	campaigning	itself	works	as	it	is	supposed	to.	The	
conclusion	 that	 the	 negative	 campaigning	 is	 no	 more	 effective	 than	 positive	
campaigning	 even	 though	 negative	 campaigns	 appear	 to	 be	 somewhat	 more	
memorable	 and	 to	 generate	 somewhat	 greater	 campaign-relevant	 knowledge.	
Negative	 campaigning	 also	 has	 the	 potential	 effect	 to	 damage	 the	 political	
system.	 It	 also	 tends	 to	 reduce	 the	 feeling	 of	 political	 efficacy,	 trust	 in
government,	and	perhaps	even	satisfaction	with	government	itself.	(Lau,	2007)	
	
Another	research	paper	done	by	Yanna	Krupnikov	(Krupnikov,	2012),	points	out	
that	 certain	 ads	 help	 individuals	 to	 make	 better	 choices.	 Negative	 ads,	 rather	
than	positive	ads,	increase	this	likelihood	of	selection.	At	a	time	when	numerous	
political	 organization,	 and	 journalists	 continue	 to	 argue	 that	 negativity	 is	
detrimental	 to	 the	 political	 progress	 it	 is	 important	 to	 note	 that	 increase	 in	
negativity	leads	to	an	increase	in	the	likelihood	of	selection.	In	short,	individual	
who	saw	more	negative	ads	were	more	likely	to	take	an	initial,	necessary	step	
toward	political	involvement.	Simply	because	negative	ads	are	unpleasant	does	
not	logically	determine	that	negative	ads	will	be	harmful	under	all	conditions.	
	
Straub	and	hills	(Diane.m.	straub,	2003)	pointed	out	that	although	anti-tobacco	
advertising	has	a	protective	effect,	it	was	unable	to	counteract	the	effect	of	pro-
tobacco	 advertising	 in	 the	 same	 cohort.	 Independent	 of	 known	 influences	 on	
adolescent’s	 intention	 to	 smoke,	 it	 was	 found	 that	 both	 receptivity	 to	 pro-
tobacco	 advertising	 and	 agreement	 with	 anti-tobacco	 advertising	 were	 strong	
predictors	 of	 the	 intention	 to	 smoke.	 In	 their	 study,	 there	 is	 an	 independent	
strong	 inverse	 association	 with	 intention	 to	 smoke	 with	 agreement	 with	 anti-
tobacco	 advertising.	 Clearly,	 youth	 are	 being	 simultaneously	 exposed	 to	 both	
pro-	 and	 anti-tobacco	 advertising,	 and	 it	 appears	 that	 each	 exerts	 an	
independent	effect	on	their	intention	to	smoke.		
	
Goldman	and	Glantz	(Lisa	K.	Goldman	&	Stanton	A.	Glantz,	1998)	did	research	on	
the	 evaluation	 of	 antismoking	 advertising	 campaigns.	 Their	 focus	 group	
participants	 indicated	 that	 industry	 manipulation	 and	 second	 hand	 smoke	 has	
the	 most	 effect	 strategies	 for	 deformalizing	 smoking	 and	 reducing	 cigarette	
consumption.	Addiction	and	cessation	can	be	effective	when	used	in	conjunction	
with	 industry	 manipulation	 and	 second	 hand	 smoke	 strategies.	 Young	 access,	
short-term	 effects,	 long-term	 health	 effects,	 and	 romantic’s	 rejection	 are	 not	
effect	 strategies.	 More	 aggressive	 advertising	 strategies	 appear	 to	 be	 more	
effective	at	reducing	tobacco	consumption.
Chapter	4.	Theoretical	Framework	and	Hypotheses		
Based	 on	 the	 literature	 review,	 we	 have	 gone	 through	 different	 papers	 about	
factors,	which	can	influence	organic	food	purchasing	behavior,	and	also	brand	
name	and	brand	image.	If	we	want	to	know	the	influence	of	the	brand	name	and	
image	on	the	package	for	the	consumer	purchasing	behavior,	we	have	to	know	
what	consumers	think	about	insect	product	and	the	purchasing	behavior,	which	
are	including	the	following	five	different	stages:	(Johnston,	2013)	
	
Stage	 1:	 consumers	 need	 recognition.	 Maketeers	 are	 trying	 to	 stimulate	
consumer	 into	 a	 real	 need	 for	 a	 specific	 product.	 For	 example,	 you	 may	 have	
heard	many	times	about	a	movie,	but	maybe	you	are	not	interested	in	watching	
it.	But	after	having	seen	a	movie	trailer	on	Youtube	you	start	to	have	a	feeling	
that	you	want	to	watch	it	with	friends.	Actually,	it	is	the	same	case	with	the	insect	
product,	people	maybe	feel	not	good	about	eating	insect	as	food.	But	when	they	
had	 one	 good	 experience	 with	 consuming	 insect	 products,	 they	 might	 still	
remember	the	first	time	consuming	it	and	they	would	like	to	try	it	again.		
	
Stage2:	information	search.	Once	the	time	is	identified,	consumers	begin	to	seek	
for	right	information	and	a	possible	solution	to	solve	a	problem.	There	are	two	
types	of	information	in	the	consumer’s	mind.	The	first	one	is	the	so-called	the	
“internal	information”.	It	is	the	memory	that	already	is	available	in	the	brain	of	
consumers.	It	comes	from	the	last	experience	he	had	with	a	brand	or	product;	it	
even	could	be	an	opinion	in	the	past.	The	second	type	of	information	is	called	
“external	information”,	which	is	received	by	friends	or	family	members	through	
reviews.	In	this	stage,	brand	name	and	brand	logo	also	can	help	people	remind	
its	brand.	During	decision-making,	consumers	normally	prefer	to	listen	to	their	
friends	 or	 the	 opinion	 of	 other	 people.	 Consumers	 consider	 it	 to	 be	 more	
objective	than	commercial	advertising.	
	
Stage3:	 alternative	 evaluation.	 After	 having	 collected	 the	 information,	 the	
consumer	will	start	to	evaluate	the	different	alternatives	that	are	offered	to	him.	
He	will	evaluate	the	best	option	to	solve	his	problem.	The	higher	involvement	of	
the	consumer	and	importance	of	the	purchase	is	stronger,	the	higher	frequency
of	the	consumer	will	think	it	as	important.	In	order	to	convince	consumers	think	
different,	 the	 key	 concept	 what	 they	 may	 remember	 is,	 brand	 name	 or	 brand	
logo.		
	
Stage4:	purchase	decision.	It	is	the	moment	that	consumers	start	to	shop	He	has	
already	 evaluated	 the	 different	 kinds	 of	 solutions	 and	 products	 which	 are	
available	for	him.	He	is	able	to	choose	a	product	or	brand	that	seems	to	be	the	
best	option	to	him.	His	decision	depends	on	the	information	he	obtained	during	
the	different	stages.	In	the	meantime,	the	perceived	value,	perceived	attributes	
importance	and	functions	are	also	very	important	to	him.	Even	when	a	consumer	
starts	 to	 purchase	 a	 brand	 or	 a	 product,	 a	 marketer	 still	 can	 use	 promotion	
strategies	to	change	or	improve	the	purchase	volume.		
	
Stage5:	Post-Purchase	Behavior.	After	some	consumers	used	the	insect	product,	
they	would	like	to	evaluate	the	consume	experience.	And	they	also	start	thinking	
about	if	they	made	a	right	choice.	There	are	mostly	two	types	of	feeling:	one	is	
satisfaction,	and	another	is	called	dissatisfaction.	When	they	are	satisfied	with	
the	 insect	 products,	 they	 would	 like	 to	 short	 the	 time	 of	 making	 purchasing	
progress.	They	will	buy	the	same	product	again.	It	is	also	possible	to	become	a	
loyal	consumer	in	the	long	run.	If	consumers	don’t	like	what	they	have	chosen,	
they	maybe	will	leave	this	brand	and	look	for	a	new	opportunity	to	fulfill	their	
need.	So	it	is	very	important	to	satisfy	consumers	in	order	for	them	to	stay	with	a	
certain	 brand.	 The	 post-purchasing	 behavior	 plays	 a	 very	 important	 role	 for	
brand	development.	
The	relationship	between	five	stages	with	brand	name	and	logo	are	following:	
			 	 											
Regnition	
Information	
search	
Alternative	
evaluation	Decision	
Psot-
Purchase	
behavior	
Brand	
Logo	Brand	
name		
H1	H2	H3
H1:	consumers	are	more	likely	to	purchase	a	product	in	a	food	category	if	it	
has	a	brand	name	that	highlight	the	benefits	of	product	than	it	has	neutral	
brand	name.	A	good	brand	name	will	make	consumer	easy	to	understand	and	
remember.	 As	 for	 brand	 name,	 Park	 found	 out	 that	 symbolic	 brand	 name	 are	
presented	to	customer	with	a	meaning	of	luxury,	or	high	social	status.	Iglesias	
also	 point	 out	 that	 it	 is	 very	 important	 for	 a	 company	 to	 get	 differential	
advantage	by	giving	a	good	brand	name.	And	it	is	also	supported	that	there	are	
greater	 differences	 between	 brand	 with	 brand	 name	 related	 and	 brand	 with	
brand	 with	 product	 related	 benefits.	 So	 it	 may	 create	 more	 attention	 when	 a	
product	has	a	highlight	brand	name.	
	
H2:	consumers	are	more	likely	to	purchase	a	product	in	food	category	if	the	
brand	 logo	 contains	 unattractive	 image	 than	 if	 it	 contains	 a	 neutral	 or	
attractive	 image.	 As	 for	 the	 brand	 image,	 Yanna	 point	 out	 that	 negative	 ads	
increase	this	likelihood	of	selection.	Diane	researched	that	both	receptive	to	pro-
tobacco	 advertising	 and	 agreement	 with	 anti-tobacco	 advertising	 were	 strong	
predictor	of	intention	to	smoke.	So	consumer	starts	to	have	an	anti-feeling,	when	
they	saw	a	negative	perception,	it	maybe	increases	the	curiosity	of	trying.		
	
H3:	 Consumers	 are	 more	 likely	 to	 purchase	 a	 product	 in	 a	 new	 food	
category	if	the	brand	name	highlight	feature	benefits	with	less	attractive	
logo	than	if	the	brand	name	is	neutral	and	has	attractive	brand	logo.	Based	
on	 the	 hypotheses	 1	 and	 2,	 I	 make	 another	 hypotheses.	 When	 a	 brand	 name	
highlight	the	benefits	directly,	and	it	also	have	a	less	attractive	logo,	consumers	
are	 more	 likely	 to	 purchase,	 comparing	 with	 a	 brand	 name	 is	 neutral	 with	 an	
attractive	logo.
Chapter	5.	Experiment	Design	
		
As	for	that,	I	have	research	question	that	I	would	like	to	base	on	organic	food	to	
simulate	 the	 research	 question	 itself.	 We	 want	 to	 examine	 people	 purchasing	
attention	about	insect	products.	I	came	up	with	a	questionnaire	according	to	the	
literature	 reviews	 in	 chapter	 3.	 Tina	 M.	 Lowrey	 (Tina	 M.	 Lowrey,	 2003)	
concluded	 that	 throughout	 the	 brand	 name	 development	 process,	 marketers	
might	benefit	from	being	sensitive	to	the	linguistic	characteristics	of	candidate	
names.	Both	screening	and	testing	phases	should	capture	consumer	response	to	
a	wide	range	of	candidate	names	differing	in	the	types	of	linguistic	devices	used.	
It	 is	 also	 important	 that	 the	 study	 of	 language	 in	 advertising	 needs	 to	 be	
researched	 more	 thoroughly	 and	 more	 precisely.	 In	 order	 to	 examine	 the	
advertising	 strategy,	 we	 are	 going	 to	 test	 the	 influence	 of	 consumer	 feelings	
about	 a	 brand	 name	 on	 consumer	 purchasing	 behavior.	 We	 have	 the	 original	
name	 “insecta”,	 and	 we	 also	 have	 the	 new	 brand	 name	 “bio	 high	 protein”	 as	
comparing	 control	 group.	 There	 is	 also	 another	 variable,	 which	 is	 very	
interesting	 for	 me	 to	 examine,	 namely	 the	 image	 on	 the	 package	 for	 insect	
products.	 I	 made	 three	 options	 for	 this	 variable.	 The	 first	 option	 shows	 the	
original	 worms,	 where	 consumers	 can	 see	 worms	 directly	 on	 insect	 products.	
The	 second	 option	 is	 the	 neutral	 one	 where	 nothing	 will	 be	 appearing	 in	 the	
same	place	on	the	package.	The	third	option	is	that	a	cartoon	of	worms	will	be	
appearing	on	the	package	at	the	same	place	as	with	option1.		
In	 summary,	 I	 have	 designed	 2	 variables	 in	 this	 paper	 and	 there	 will	 be	 6	
conditions,	 which	 apply	 for	 the	 direct	 advertising	 on	 the	 package	 for	 insect	
products.	My	goal	is	to	test	which	combination	of	these	two	variables	will	be	best	
for	the	company	to	launch	new	packaging	material	in	order	to	increase	the	sales.	
		 Negative	 Neutral	 Positive	
Brand	name	1	 condition1	 condition2	 condition3	
Brand	name	2	 condition4	 condition5	 condition6	
	
		 Original	worm	 Nothing	 Cartoon	worm	
Insecta	 condition1	 condition2	 condition3	
Bio	High	Protein	 condition4	 condition5	 condition6
Chapter	6.	Methodology,	Data	and	Key	variables	
	
Model:	
In	this	section,	I	develop	a	regression	model	to	analyze	the	different	variables	
that	have	an	influence	on	the	respondent	reply	to	the	questionnaire.	The	formula	
will	be	as	follows:	
	
f(k,i)=β0,k+β1,kX1,i+β2,kX2,i+````````+βm,kXm,i	
Where	 the	 βMK	 is	 a	 regression	 coefficient	 associated	 with	 Mth	 explanatory	
variable	and	the	kth	outcome.	As	explained	in	the	logistic	regression	article,	the	
regression	 coefficient	 and	 explanatory	 variable	 are	 normally	 grouped	 into	
factors	of	size	M+1,	so	the	predicted	function	can	be	also	be	written	as	follows:	
f(k,i)=βk*Xi	 where	 βk	 is	 the	 set	 of	 regression	 coefficient	 associated	 with	
outcome	k	and	Xi	is	the	set	of	explanatory	variables	associated	with	observation	
i.	 In	 this	 equation,	 the	 consumer-purchasing	 outcome	 will	 be	 representative;	
there	are	total	180	respondents,	which	are	under	6	conditions.	30	respondents	
will	answer	each	condition.	I	used	Erasmus	Quatrics	platform,	respondents	are	
mainly	coming	from	Facebook	friends.	The	explanatory	variables	will	be:	brand	
name,	 picture	 on	 package,	 involvement,	 price	 index,	 age,	 gender,	 income,	 and	
partner	status	and	education	situation.	
Data:	
The	data	were	collected	by	a	structured	questionnaire,	based	on	the	purpose	of	
this	paper.	The	questionnaire	was	under	6	conditions,	which	was	also	based	on	
the	 2	 variables	 on	 the	 package.	 The	 first	 variable	 has	 two	 options.	 And	 the	
second	variable	has	three	options.	The	main	respondents	come	from	Facebook.	
After	 I	 got	 data	 from	 respondents,	 I	 first	 summarized	 the	 data.	 From	 the	
appendix	table	10.3,	I	first	used	factor	analysis	to	find	out	if	there	is	one	factor	
from	question	1	to	question	7.	Question	1	is	about	the	health	concept	of	insect	
products.	 Question	 2	 is	 about	 insect	 products	 better	 for	 the	 environment.	
Question	3	is	about	the	tasty	of	insect	product,	which	are	better.	Question	4	is	
about	safety	of	insect	product.	Question	5	is	the	think	of	relation	between	insect
products	with	organic	concept.	Question	6	is	recommendation	power	from	other	
person.	Question	7	is	about	if	consumer	would	like	to	make	recommendation	for	
their	friends	or	family	members	after	they	consume	the	product.	Using	the	same	
method,	 I	 found	 out	 that	 also	 involvement	 is	 one	 factor.	 I	 named	 them	 as	
Coi(consumer	 opinion	 index)and	 Invol(involment).	 Question	 13	 to	 17	 is	 the	
demographic	question	which	give	us	more	information	about	our	respondents.	
	
Key	Variables:	
	
Coi:	Consumer	opinion	index	(consumer	perceptions)	
BN:	brand	name	
Carp:	Logo,	(original	worm,	cartoon	worm,	nothing)	
Involvement:	this	is	involvement	with	organic	food.	
Price	index:	this	is	the	price	which	customer	willing	to	pay	for	insect	product.	
Once	again	this	is	specific,	make	it	general	based	on	dimensions	of	packaging.	
Variable	type	 Literature	 Description	in	questionnaire	
Coi	 Hendrik(1997)	 Insect	product	is	healthier	than	conventional	products	
		 Richard(2005)	 Insect	product	is	better	for	environment	
	
Brigit(2008)	 Insect	product	is	tastier	than	conventional	products	
		 Brigit(2008)	 Insect	product	is	more	safe	than	conventional	products	
	
Blackwell(2006)	 I	believe	that	Insect	product	is	an	organic-related	product	
		 Blackwell(2006)	 I	buy	insect	product	because	of	the	recommendations	from	others	
	
Blackwell(2006)	 Do	you	make	recommendation	of	insect	products	to	your	others?	
BN	 Iglesias(2001)	 Brand	name	1:	Insecta	
	
Forst(2002)	 Brand	name	2:	Bio	high	protein	
Carp	 Yanna(2012)	 Original	
	 	
Nothing	
		 Lisa(1998)	 Cartoon	worm	
Involvement	
	
I	think	organic	food	is	very	important	for	me	
		 		 I	don’t	think	organic	food	is	useful	to	the	society	
	 	
I	think	organic	food	is	very	beneficial	
		 		 I	think	organic	food	is	very	needed	
Price	index	 Robby(1996)	 If	organic	chicken	burger	price	is	3	euro	per	package,	what	is	you	willing		
		 		 to	pay	(euro)	for	insect	burger?	Fill	in	a	number	(1	to	5	euro)	
Age	 Gracia(2008)	 How	old	are	you?	
Gender	 Gracia(2008)	 Please	select	you	gender	
Income	 Rointer(2008)	 In	what	category	does	your	monthly	income	fall		
Partner	 Graxia(2008)	 Do	you	live	together	with	a	partner	
Education	 Briz(2009)	 What	is	your	education	level
Chapter	7.	Statistics	results	
	
Descriptive	Analysis:	
We	see	that	the	highest	percentage	of	the	respondents	is	people	around	20	to	30	
years	old.	This	may	be	due	to	the	Facebook	friend	limitation.	The	mean	of	the	
involvement	 is	 approximately	 3.4,	 which	 means	 that	 people	 who	 have	 high	
involvement	with	organic	food,	who	might	like	to	buy	insect	products.	This	may	
explain	 the	 connection	 between	 organic	 food	 and	 insect	 products.	 Insect	
products	 are	 good	 for	 environment	 and	 health.	 People	 may	 start	 to	 combine	
these	two	kinds	of	products	with	the	same	health	expectation.	In	the	final	data,	
there	 are	 more	 male	 than	 female	 respondents	 due	 to	 the	 limitation	 of	 this	
research.	The	income	of	consumers'	majority	is	around	1500	euros	per	month.	
They	are	not	the	wealthiest	group	in	the	society,	but	they	already	have	a	strong	
awareness	of	insect	products.	It	may	result	from	the	higher	education	they	had.	
The	 mean	 of	 consumer	 partner	 status	 is	 around	 0.64,	 which	 shows	 that	 most	
respondents	are	partnered.	They	start	to	look	for	more	healthy	food	solutions.	
We	also	clearly	see	that	the	mean	of	the	education	factor	is	14.5,	which	shows	
that	most	respondents	have	a	bachelor	degree.	Higher	education	may	come	with	
a	high	awareness	of	insect	products,	which	apparently	plays	an	important	role	in	
health	food	purchasing.	
Empirical	analysis:	
In	the	second	part	of	statistics	result,	I	will	focus	on	the	regression,	after	using	
SPSS	linear	regression	analysis;	we	set	insect	brand	name	as	baseline,	and	Bio	
high	protein	burger	will	be	1,	we	also	set	neutral	as	our	baseline	as	well,	we	try	
to	analyze	the	parameters.	In	the	total	output	from	SPSS	in	the	Appendix,	I	also	
made	 a	 summary	 of	 the	 parameters,	 the	 standard	 error,	 and	 the	 significant	
situation	also	as	follows:	
Model	 										B	 									Std.	Error	 								Sig.	
Constant	 2,381	 0,546	 0,000	
BN	 1,667	 0,122	 0,000	
Orip	 -0,273	 0,119	 0,023	
Carp	 1,143	 0,120	 0,000	
BNOrip	 -1,103	 0,170	 0,000	
BNCarp	 -0,477	 0,177	 0,008
BN:	brand	name	
Orip:	Original	worm	on	packaging	
Carp:	Cartoon	worm	on	packaging	
BNOrip:	interaction	effect	between	Brand	name	and	Original	worm	on	packaging	
BNCarp:	interaction	effect	between	Brand	name	and	Cartoon	worm	on	packaging	
	
Brand	Name	 Main	Effect(neutral)			1	 Original	worm	2	 Cartoon	worm	3	
Bio	high	
protein	
burger	 															1,667	 0,291	 										2,363	
Insecta	 																				0	 -1,376	 											0,696	
	
	
	
The	 above	 table	 is	 made	 from	 the	 appendix	 table.	 The	 variables:	 involvement,	
price	index,	age,	gender,	income,	partner	status	and	education	years	are	all	not	of	
significant	 influence	 on	 consumer	 purchasing	 attention	 for	 insect	 products.	 As	
for	the	significant	effect,	it	will	explain	as	follows:	We	can	clearly	see	that	brand	
name	 coefficient	 B	 is	 2,381,	 and	 P	 value	 (0,000)	 <0,05,	 brand	 name	 has	
significant	 influence	 on	 consumer	 purchasing	 attention	 for	 insect	 products.	 As	
for	the	brand	logo	on	the	package,	we	see	that	the	logo	of	original	worms	has	
negative	B,	-0,273,	P	value	(0,023)	<0,05,	which	means	that	the	image	of	original	
worms	has	a	negative	influence	on	consumer	purchasing	attention	for	the	insect	
product.	 We	 also	 see	 that	 the	 cartoon	 worm	 has	 positive	 B,	 which	 is	 0,143,	 P	
1,667	
0	
2,363	
0	
-1,376	
0,696	
	
-2,000	
-1,500	
-1,000	
-500	
0	
500	
1,000	
1,500	
2,000	
2,500	
3,000	
1	 2	 3	
Bio	High	Protein	Burger	 Insecta
value	 (0,000)	 <0,05,	 which	 means	 that	 the	 image	 of	 the	 cartoon	 worm	 has	 a	
positive	effect	on	consumer	purchasing	attention	for	the	insect	product.	There	is	
an	interaction	effect	between	brand	name	and	the	logo	of	the	original	worm,	they	
have	 negative	 B,	 which	 is	 -1,103,	 P	 value	 (0,000)<	 0,05,	 they	 have	 a	 negative	
effect	 on	 consumer	 purchasing	 attention,	 but	 regarding	 the	 brand	 name	 and	
cartoon	 worm,	 they	 have	 a	 negative	 effect	 on	 consumer	 purchasing	 attention.	
The	B	is	-0,477,	and	the	P	value	(0,008)	<0,05.	So	that	means	that	both	original	
worm	and	cartoon	worm	have	negative	effect	on	consumer	opinion	index	when	
they	are	combining	with	brand	name.	I	made	interaction	effect	as	above,	when	
the	 brand	 name	 is	 Bio	 high	 protein	 burger,	 the	 cartoon	 effect	 (2,363)	 has	 the	
highest,	when	the	bran	name	is	insect,	the	cartoon	effect	(0,696)	also	the	highest.
Chapter	8.	Discussion	and	Conclusion,	Managerial	Implications,	
Limitation	
	
	
1)	Discussion	and	Conclusion	
	
Insect	 products	 are	 a	 good	 solution	 for	 meat	 replacement.	 We	 have	 to	
understand	consumer-purchasing	behavior	in	order	to	improve	insect	products.	
In	 this	 paper,	 I	 have	 applied	 statistical	 methods	 to	 find	 out	 in	 which	 way	 a	
packaging	advertising	strategy	can	be	improved.	
	
The	 brand	 name	 has	 a	 significant	 effect	 on	 consumer	 attention	 for	 insect	
products,	with	analyzing	the	questionnaire	data,	we	can	see	that	branding	name	
has	 a	 significant	 effect	 on	 consumer	 attention,	 “bio	 high	 protein”	 which	 has	
positive	 effect	 on	 purchasing	 and	 attention.	 Hypothesis	 1	 is	 accepted,	 which	
means	 that	 consumer	 is	 more	 likely	 to	 purchase	 a	 positive	 perception	 brand	
name	 than	 a	 neutral	 brand	 name	 product.	 This	 strategy	 should	 be	 used	
effectively.		As	for	the	brand	logo	from	product,	the	original	worm	has	a	negative	
effect	 on	 consumer	 purchasing	 attention	 and	 the	 cartoon	 worm	 has	 positive	
effect	on	consumer	purchasing	attention	for	the	insect	product.	Hypothesis	2	is	
rejected,	 which	 means	 that	 consumers	 are	 more	 likely	 to	 purchase	 a	 positive	
image	 on	 packaging	 than	 a	 negative	 one.	 The	 interaction	 effect	 between	 the	
brand	name	and	original	worm	and	the	brand	name	and	the	cartoon	worm	both	
have	a	negative	effect	on	purchasing	attention,	which	means	that	when	the	brand	
name	with	two	different	brand	logo	both	work	at	the	same	time	on	the	package,	
people	start	to	have	a	negative	perception	about	the	insect	product.	Hypothesis	3	
is	also	rejected,	which	means	that	the	combination	between	brand	name	and	two	
brand	 logos	 together	 have	 negative	 effect	 on	 consumer	 purchasing	 behavior.	
Consumers	 maybe	 become	 confused	 about	 this	 brand.	 They	 don’t	 trust	 this	
brand	 any	 more.	 Thus,	 I	 think	 this	 is	 an	 interesting	 finding	 for	 my	 study	 that	
people	start	to	have	negative	perception	about	insect	product	when	they	noticed	
both	positive	brand	name	and	positive	brand	logo	on	the	package,	it	also	can	be	
an	interesting	topic	for	future	research.
2)	Managerial	Implications	
	
From	the	above	marketing	analysis,	I	would	like	to	recommend	making	a	new	
brand	name	different	from	the	current,	“Insecta”.	From	my	research	that	we	can	
see	 consumers	 prefer	 “bio	 high	 protein”,	 this	 brand	 name	 makes	 it	 easier	 to	
understand	the	perceived	value	than	“Insecta”.		
	
About	the	brand	logo	of	the	package,	we	clearly	found	out	that	consumers	do	not	
appreciate	 a	 brand	 logo	 of	 actual	 worms;	 it	 may	 create	 a	 bad	 image	 for	
purchasing.	 At	 the	 same	 time,	 cartoon	 worms,	 which	 consumers	 prefer	 in	 our	
research,	have	a	positive	effect	on	purchasing	attention.	Negative	brand	logo	did	
not	encourage	consumer	to	purchase	more,	I	would	recommend	making	cartoon	
worms	as	brand	logo	appear	on	the	package.		
	
From	this	research	paper,	we	also	clearly	see	that	consumers	display	a	negative	
effect	on	their	purchasing	attention	when	a	positive	brand	name	and	a	cartoon	
worm	brand	logo	both	appear	on	the	package.	This	will	create	difficulties	if	we	
would	make	“bio	high	protein”	as	the	brand	name	appears	alongside	the	cartoon	
worm	as	brand	logo	on	packaging.	I	would	like	to	recommend	further	study	on	
this	research	topic	regarding	the	interaction	between	separately	well-received	
brand	 names	 and	 positive	 brand	 logo	 on	 packaging.	 I	 hope	 that	 my	 research	
paper	can	contribute	to	the	designs	of	further	studies.	
	
3)	Limitation:	
The	sample	size	of	respondents	for	this	research	paper	is	180	individuals,	which	
I	selected	from	my	Facebook	friends,	requested	to	answer	my	questionnaire.	The	
sample	size	was	a	very	important	aspect	for	thesis.	A	small	sample	size	would	be	
difficult	 to	 find	 significant	 relationship	 in	 research	 and	 also	 hard	 to	 be	
representative	 for	 the	 whole	 distribution.	 Additionally,	 we	 saw	 that	 the	 most	
respondents	 are	 the	 people,	 who	 have	 the	 income	 of	 around	 1500	 euro	 per	
month,	 and	 most	 are	 partnered	 with	 a	 bachelor	 degree,	 and	 the	 average	
respondent	 age	 is	 between	 20	 and	 30,	 which	 also	 skews	 the	 outcome	 of	 this	
research	paper.	For	future	studies,	a	larger	group	with	a	more	diverse	age	range
would	be	able	to	present	more	generally	representative	results.	Secondly,	based	
on	the	scope	of	research	topic,	there	are	very	few	literature	reviews	about	insect	
products.	 This	 also	 makes	 it	 more	 difficult	 to	 explore	 my	 research	 question.	 I	
would	 like	 to	 make	 contribution	 to	 future	 study	 for	 the	 same	 topic	 of	 insect	
product	as	for	my	research	paper.
Chapter	9.	Reference	
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Chapter	10.	Appendix	
Table	10.1	Experiment	6	different	conditions
10.2	Questionnaire	
	
Questionnaire	about	Insect	product	
	
There	are	following	statement,	please	fill	in	how	you	agree	with	them.	
1	means	strongly	disagree,	3	means	neutral,	5	means	strongly	agree.	
	
1)	Insect	products	are	healthier	than	conventional	products.			
	
	
	
2)	Insect	products	are	better	for	environment.		
	
	
3)	Insect	products	are	tastier	than	conventional	products.	
	
	
4)	Insect	products	are	safer	than	conventional	products.	
	
	
5)	I	believe	that	insect	products	are	organic-related	products.	
	
	
6)	I	buy	insect	products	because	of	the	recommendations	from	others.	
	
	
7)	Do	you	make	recommendation	of	insect	products	to	your	family	members	or	
friends	or	others?	
	
	
8)	If	organic	chicken	burger	price	is	3	euro	per	package,	what	is	you	willing	to	
pay	(euro)	for	insect	burger?	Fill	in	a	number	(1	to	5	euro)	
(				)	euro	
	
9)	I	think	organic	good	is	very	important	for	me.	 	
	
	
10)	I	don’t	think	organic	food	is	useful	to	the	society.	
	
	
11)	I	think	organic	food	is	very	beneficial.	
	
	
12)	I	think	organic	food	is	much	needed.	
	
	
	 	
13)	How	old	are	you?		(					)		
1	 2	 3	 4	 5	
1	 2	 3	 4	 5	
1	 2	 3	 4	 5	
1	 2	 3	 	 4	 5	
1	 2	 3	 4	 5	
1	 2	 3	 4	 5	
1	 2	 3	 4	 5	
1	 2	 3	 4	 5	
1	 2	 3	 4	 5	
1	 2	 3	 4	 5	
1	 2	 3	 4	 5
14)	Please	select	you	gender:		
		Male								Female	
	
15)	In	what	category	does	your	monthly	income	fall?	(After	tax)		
	
		<1000			1000-2000		2000-3000		3000-4000			>4000	
		
16)	Do	you	live	together	with	a	partner?							Yes				No		
	
17)	What	is	your	education	level?			
	High	school			Bachelor			Master	
	
	
Table	10.3	Factor	Analysis	from	question	1	to	question	7:	
Correlation Matrix
a
Q1 Q2 Q3 Q4 Q5 Q6 Q7
Correlation Q1 1.000 .872 .820 .816 .593 .764 .760
Q2 .872 1.000 .739 .781 .559 .694 .732
Q3 .820 .739 1.000 .748 .484 .703 .677
Q4 .816 .781 .748 1.000 .526 .680 .710
Q5 .593 .559 .484 .526 1.000 .525 .531
Q6 .764 .694 .703 .680 .525 1.000 .718
Q7 .760 .732 .677 .710 .531 .718 1.000
Sig. (1-tailed) Q1 .000 .000 .000 .000 .000 .000
Q2 .000 .000 .000 .000 .000 .000
Q3 .000 .000 .000 .000 .000 .000
Q4 .000 .000 .000 .000 .000 .000
Q5 .000 .000 .000 .000 .000 .000
Q6 .000 .000 .000 .000 .000 .000
Q7 .000 .000 .000 .000 .000 .000
a. Determinant = .002
Total Variance Explained
Component
Initial Eigenvalues Extraction Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 5.159 73.707 73.707 5.159 73.707 73.707
2 .594 8.480 82.187
3 .367 5.239 87.426
4 .308 4.397 91.823
5 .239 3.416 95.239
6 .227 3.243 98.482
7 .106 1.518 100.000
Extraction Method: Principal Component Analysis.
Factor analysis from question 9 to question 12:
Correlation Matrix
a
Q9 Q10 Q11 Q12
Correlation Q9 1.000 -.588 .624 .596
Q10 -.588 1.000 -.638 -.562
Q11 .624 -.638 1.000 .687
Q12 .596 -.562 .687 1.000
Sig. (1-tailed) Q9 .000 .000 .000
Q10 .000 .000 .000
Q11 .000 .000 .000
Q12 .000 .000 .000
a. Determinant = .154
Total Variance Explained
Component
Initial Eigenvalues Extraction Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 2.850 71.246 71.246 2.850 71.246 71.246
2 .444 11.101 82.347
3 .409 10.229 92.577
4 .297 7.423 100.000
Extraction Method: Principal Component Analysis.
Table	10.4	
Descriptive	analysis	tables	:	
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
Coi 180 1.29 4.86 2.9770 1.01759
Invol 179 2.00 4.00 3.4050 .35857
Q8 180 1 5 3.39 2.892
Q13 180 19 56 27.14 5.788
Gender14 180 .00 1.00 .4333 .49692
Income15 180 500.00 3500.00 1488.8889 578.85351
Partner16 180 .00 1.00 .6444 .48002
Education17 180 12.00 16.00 14.4556 1.27863
Valid N (listwise) 179
Characteristics of Insect product (Coi)
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1.29 2 1.1 1.1 1.1
1.43 5 2.8 2.8 3.9
1.57 6 3.3 3.3 7.2
1.71 11 6.1 6.1 13.3
1.86 11 6.1 6.1 19.4
2.00 8 4.4 4.4 23.9
2.14 10 5.6 5.6 29.4
2.29 18 10.0 10.0 39.4
2.43 7 3.9 3.9 43.3
2.57 7 3.9 3.9 47.2
2.71 2 1.1 1.1 48.3
2.86 4 2.2 2.2 50.6
3.00 5 2.8 2.8 53.3
3.14 6 3.3 3.3 56.7
3.29 4 2.2 2.2 58.9
3.43 5 2.8 2.8 61.7
3.57 8 4.4 4.4 66.1
3.71 9 5.0 5.0 71.1
3.86 11 6.1 6.1 77.2
4.00 8 4.4 4.4 81.7
4.14 5 2.8 2.8 84.4
4.29 6 3.3 3.3 87.8
4.43 11 6.1 6.1 93.9
4.57 6 3.3 3.3 97.2
4.71 3 1.7 1.7 98.9
4.86 2 1.1 1.1 100.0
Total 180 100.0 100.0
Involvement
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2.00 2 1.1 1.1 1.1
2.25 1 .6 .6 1.7
2.50 4 2.2 2.2 3.9
2.75 4 2.2 2.2 6.1
3.00 19 10.6 10.6 16.8
3.25 40 22.2 22.3 39.1
3.50 66 36.7 36.9 76.0
3.75 31 17.2 17.3 93.3
4.00 12 6.7 6.7 100.0
Total 179 99.4 100.0
Missing System 1 .6
Total 180 100.0
Price Index (Q8)
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 13 7.2 7.2 7.2
2 61 33.9 33.9 41.1
3 39 21.7 21.7 62.8
4 44 24.4 24.4 87.2
5 16 8.9 8.9 96.1
6 7 3.9 3.9 100.0
Total 180 100.0 100.0
Age
Frequency Percent Valid Percent
Cumulative
Percent
Valid 19 2 1.1 1.1 1.1
20 1 .6 .6 1.7
21 4 2.2 2.2 3.9
22 3 1.7 1.7 5.6
23 28 15.6 15.6 21.1
24 25 13.9 13.9 35.0
25 32 17.8 17.8 52.8
26 22 12.2 12.2 65.0
27 12 6.7 6.7 71.7
28 9 5.0 5.0 76.7
29 5 2.8 2.8 79.4
30 7 3.9 3.9 83.3
31 1 .6 .6 83.9
32 6 3.3 3.3 87.2
33 1 .6 .6 87.8
34 7 3.9 3.9 91.7
35 3 1.7 1.7 93.3
36 1 .6 .6 93.9
40 4 2.2 2.2 96.1
45 4 2.2 2.2 98.3
50 2 1.1 1.1 99.4
56 1 .6 .6 100.0
Total 180 100.0 100.0
Gender14
Frequency Percent Valid Percent
Cumulative
Percent
Valid .00 102 56.7 56.7 56.7
1.00 78 43.3 43.3 100.0
Total 180 100.0 100.0
Income15
Frequency Percent Valid Percent
Cumulative
Percent
Valid 500.00 29 16.1 16.1 16.1
1500.00 126 70.0 70.0 86.1
2500.00 23 12.8 12.8 98.9
3500.00 2 1.1 1.1 100.0
Total 180 100.0 100.0
Partner16
Frequency Percent Valid Percent
Cumulative
Percent
Valid .00 64 35.6 35.6 35.6
1.00 116 64.4 64.4 100.0
Total 180 100.0 100.0
Education17
Frequency Percent Valid Percent
Cumulative
Percent
Valid 12.00 37 20.6 20.6 20.6
15.00 130 72.2 72.2 92.8
16.00 13 7.2 7.2 100.0
Total 180 100.0 100.0
Table 10.5 Final Linear Regression Analysis
Variables Entered/Removed
a
Model
Variables
Entered
Variables
Removed Method
1 Education17,
Partner16, Q8,
Invol, BNOrip,
Gender14, Q13,
Carp, BN,
Income15, Orip,
BNCarp
b
. Enter
a. Dependent Variable: Coi
b. All requested variables entered.
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .902
a
.813 .799 .45670
a. Predictors: (Constant), Education17, Partner16, Q8, Invol, BNOrip,
Gender14, Q13, Carp, BN, Income15, Orip, BNCarp
ANOVA
a
Model Sum of Squares df Mean Square F Sig.
1 Regression 150.250 12 12.521 60.030 .000
b
Residual 34.623 166 .209
Total 184.873 178
a. Dependent Variable: Coi
b. Predictors: (Constant), Education17, Partner16, Q8, Invol, BNOrip, Gender14, Q13, Carp, BN,
Income15, Orip, BNCarp
Coefficients
a
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 2.381 .546 4.360 .000
BN 1.667 .122 .820 13.614 .000
Orip -.273 .119 -.126 -2.300 .023
Carp 1.143 .120 .531 9.485 .000
BNOrip -1.103 .170 -.400 -6.472 .000
BNCarp -.477 .177 -.175 -2.692 .008
Invol -.014 .103 -.005 -.141 .888
Q8 -.006 .013 -.018 -.504 .615
Q13 .000 .007 .001 .031 .975
Gender14 .111 .074 .054 1.492 .138
Income15 -1.217E-5 .000 -.007 -.160 .873
Partner16 .035 .080 .016 .433 .665
Education17 -.017 .032 -.022 -.540 .590
a. Dependent Variable: Coi

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