The present study explores the impact of spirituality and environmental concerns on the purchase intention of Indian consumers through an extended version of the Theory of Planned Behaviour (TPB). Based on the data collected from 448 people, Partial Least Square Structural Equation Modeling (PLS-SEM) is used to develop and test the proposed model. The present study confirms the positive impact of attitude, subjective norms, and perceived behaviour control on the purchase intention of millet products. The study also confirms the importance of spirituality and environmental concerns on the intention to purchase millet products. Since millet is a nutrient-dense and climate-resilient crop, the findings advocate for the government and business organizations to promote millet products on these dimensions. With the increased awareness of the importance of environmental sustainability and spirituality, the present study provides a new dimension of research and managerial action.
AjzenI. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
2.
AjzenI. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior1. Journal of Applied Social Psychology, 32(4), 665–683. https://doi.org/10.1111/J.1559-1816.2002.TB00236.X
3.
AjzenI., & FishbeinM. (1972). Attitudes and normative beliefs as factors influencing behavioral intentions. Journal of Personality and Social Psychology, 21(1), 1–9. https://doi.org/10.1037/H0031930
4.
AjzenI., & FishbeinM. (1973). Attitudinal and normative variables as predictors of specific behavior. Journal of Personality and Social Psychology, 27(1), 41–57. https://doi.org/10.1037/H0034440
5.
Al-SwidiA., HuqueS. M. R., HafeezM. H., & ShariffM. N. M. (2014). The role of subjective norms in the theory of planned behavior in organic food consumption. British Food Journal, 116(10), 1561–1580. https://doi.org/10.1108/BFJ-05-2013-0105
6.
AmadouI., GoungaM., & LeG.-W. (2013). Millets: Nutritional composition, some health benefits, and processing: A review. Emirates Journal of Food and Agriculture, 25(7), 501–508. https://ejfa.me/index.php/journal/article/view/981
7.
AmorosoL. (2018). Post-2015 agenda and sustainable development goals: Where are we now? Global opportunities to address malnutrition in all its forms, including hidden hunger. World Review of Nutrition and Dietetics, 118, 45–56. https://doi.org/10.1159/000484334
8.
AndersonJ. C., & GerbingD. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
9.
ArmutcuB., RamadaniV., ZeqiriJ., & DanaL. P. (2023). The role of social media in consumers’ intentions to buy green food: Evidence from Türkiye. British Food Journal, ahead-of-print (ahead-of-print). https://doi.org/10.1108/BFJ-11-2022-0988
10.
AyounB., RoweL., & YassineF. (2015). Is workplace spirituality associated with business ethics?International Journal of Contemporary Hospitality Management, 27(5), 938–957. https://doi.org/10.1108/IJCHM-01-2014-0018
11.
BaiL., WangM., & GongS. (2019). Understanding the antecedents of organic food purchases: The important roles of beliefs, subjective norms, and identity expressiveness. Sustainability, 11(11), 3045. https://doi.org/10.3390/SU111 13045
12.
BakerE. W., Al-GahtaniS. S., & HubonaG. S. (2007). The effects of gender and age on new technology implementation in a developing country: Testing the theory of planned behavior (TPB). Information Technology and People, 20(4), 352–375. https://doi.org/10.1108/09593840710839798
13.
BandyopadhyayT., MuthamilarasanM., & PrasadM. (2017). Millets for next-generation climate-smart agriculture. Frontiers in Plant Science, 8, 258658. https://doi.org/10.3389/fpls.2017.01266
14.
BaumeisterR. F. (2002). Yielding to temptation: Self-control failure, impulsive purchasing, and consumer behavior. Journal of Consumer Research, 28(4), 670–676. https://doi.org/10.1086/338209
15.
ChinW. W., MarcelinB. L., & NewstedP. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189–217. https://doi.org/10.1287/ISRE.14.2.189.16018
16.
ChoH. C., & AbeS. (2013). Is two-tailed testing for directional research hypotheses tests legitimate?Journal of Business Research, 66(9), 1261–1266. https://doi.org/10.1016/J.JBUSRES.2012.02.023
17.
ChoiD., & JohnsonK. K. P. (2019). Influences of environmental and hedonic motivations on intention to purchase green products: An extension of the theory of planned behavior. Sustainable Production and Consumption, 18, 145–155. https://doi.org/10.1016/J.SPC.2019.02.001
18.
ChuM., AndersS., DengQ., ContadorC. A., CisternasF., CaineC., ZhuY., YangS., HuB., LiuZ., TseL. A., & LamH. M. (2023). The future of sustainable food consumption in China. Food and Energy Security, 12(2), e405. https://doi.org/10.1002/FES3.405
19.
CohenJ. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge. https://doi.org/10. 4324/9780203771587
20.
CoxD. R., & HinkleyD. V. (1979). Theoretical statistics. Taylor & Francis. https://doi.org/10.1201/B14832
21.
ElHaffarG., DurifF., & DubéL. (2020). Towards closing the attitude-intention-behavior gap in green consumption: A narrative review of the literature and an overview of future research directions. Journal of Cleaner Production, 275, 122556. https://doi.org/10.1016/J.JCLEPRO.2020.122556
22.
FalkR., & MillerN. (1992). A primer for soft modeling. The University of Akron Press.
23.
FornellC., & LarckerD. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312
24.
GaoY., TarkarP., KhanW., & HaseebM. (2023). Exploring the determinants of ice cream purchase intention: A case of an emerging economy. British Food Journal (ahead-of-print). https://doi.org/10.1108/BFJ-07-2022-0642
HairJ. F., SarstedtM., MatthewsL. M., & RingleC. M. (2016). Identifying and treating unobserved heterogeneity with FIMIX-PLS: Part I – method. European Business Review, 28(1), 63–76. https://doi.org/10.1108/EBR-09-2015-0094
27.
HenselerJ., RingleC. M., & SarstedtM. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/S11747-014-0403-8
28.
HonkanenP., VerplankenB., & OlsenS. O. (2006). Ethical values and motives driving organic food choice. Journal of Consumer Behaviour, 5(5), 420–430. https://doi.org/ 10.1002/CB.190
29.
HuntingA., & ConroyD. (2018). Spirituality, stewardship, and consumption: New ways of living in a material world. Social Responsibility Journal, 14(2), 255–273. https://doi.org/10.1108/SRJ-06-2016-0097
30.
JoshiY., & RahmanZ. (2019). Consumers’ sustainable purchase behaviour: Modeling the impact of psychological factors. Ecological Economics, 159, 235–243. https://doi.org/10.1016/J.ECOLECON.2019.01.025
31.
KabirM. R., & IslamS. (2022). Behavioral intention to purchase organic food: Bangladeshi consumers’ perspective. British Food Journal, 124(3), 754–774. https://doi.org/10.1108/BFJ-05-2021-0472
32.
Kane-PotakaJ., AnithaS., TsusakaT. W., BothaR., BudumuruM., UpadhyayS., KumarP., MalleshK., HunasgiR., JalagamA. K., & NedumaranS. (2021). Assessing millets and sorghum consumption behavior in urban India: A large-scale survey. Frontiers in Sustainable Food Systems, 5, 680777. https://doi.org/10.3389/FSUFS.2021.680777
33.
KarakasF. (2010). Exploring value compasses of leaders in organizations: Introducing nine spiritual anchors. Journal of Business Ethics, 93, 73–92. https://doi.org/10.1007/S10551-010-0627-6
34.
KautishP., & SharmaR. (2020). Determinants of pro-environmental and environmentally conscious consumer behavior: An empirical investigation from an emerging market. Business Strategy & Development, 3(1), 112–127. https://doi.org/10.1002/BSD2.82
35.
KimY. G. (2014). Ecological concerns about genetically modified (G.M.) food consumption using the theory of planned behavior (TPB). Procedia - Social and Behavioral Sciences, 159, 677–681. https://doi.org/10.1016/J.SBSPRO.2014.12.467
36.
KlineR. (2023). Principles and practice of structural equation modeling. Guilford Publications.
37.
KoleC., MuthamilarasanM., HenryR., EdwardsD., SharmaR., AbbertonM., BatleyJ., BentleyA., BlakeneyM., BryantJ., CaiH., CakirM., CsekeL. J., CockramJ., de OliveiraA. C., De PaceC., DempewolfH., EllisonS., GeptsP., … PrasadM. (2015, August). Application of genomics-assisted breeding for generation of climate resilient crops: Progress and prospects. Frontiers in Plant Science, 6, 153364. https://doi.org/10.3389/FPLS.2015.00563
38.
KotheJ. E., SainsburyK., SmithL., & MullanA. B. (2015). Explaining the intention-behavior gap in gluten-free diet adherence: The moderation roles of habit and perceived behavior control. Journal of Health Psychology, 20(5). https://doi.org/10.1177/1359105315576606
39.
LavuriR. (2022). Extending the theory of planned behavior: Factors fostering millennials’ intention to purchase eco-sustainable products in an emerging market. Journal of Environmental Planning and Management, 65(8), 1507–1529. https://doi.org/10.1080/09640568.2021.1933925
40.
LoeraB., MurphyB., FediA., MartiniM., TeccoN., & DeanM. (2022). Understanding the purchase intentions for organic vegetables across E.U.: A proposal to extend the TPB model. British Food Journal, 124(12), 4736–4754. https://doi.org/10.1108/BFJ-08-2021-0875
41.
MaddenT. J., EllenP. S., & AjzenI. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and Social Psychology Bulletin, 18(1), 3–9. https://doi.org/10.1177/0146167292181001
42.
MagnussonM. K., ArvolaA., Koivisto HurstiU. K., ÅbergL., & SjödénP. O. (2001). Attitudes towards organic foods among Swedish consumers. British Food Journal, 103(3), 209–227. https://doi.org/10.1108/00070700110386755
43.
MaichumK., ParichatnonS., PengK. C., TsaiS. B., LiuB., ShyuJ. Z., LiY., DengY., TsengM. L., & HuangJ. J. (2016). Application of the extended theory of planned behavior model to investigate purchase intention of green products among Thai consumers. Sustainability, 8(10), 1077. https://doi.org/10.3390/SU8101077
44.
MatthewsL. (2017). Applying multigroup analysis in PLS-SEM: A step-by-step process. Partial least squares path modeling: Basic concepts, methodological issues and applications (pp. 219–243). Springer. https://doi.org/10. 1007/978-3-319-64069-3_10
45.
McSherryW., & CashK. (2004). The language of spirituality: An emerging taxonomy. International Journal of Nursing Studies, 41(2), 151–161. https://doi.org/10.1016/S0020-7489(03)00114-7
46.
MengL., HairongD., ShuoC., YinaY., & GuomeiZ. (2021). Study on influencing factors of millet product consumption behavior of residents in Hebei Province-based on the perspective of planned behavior theory. IOP Conference Series: Earth and Environmental Science, 792(1), 012004. https://doi.org/10.1088/1755-1315/792/1/012004
47.
MuflihM., & JulianaJ. (2021). Halal-labeled food shopping behavior: The role of spirituality, image, trust, and satisfaction. Journal of Islamic Marketing, 12(8), 1603–1618. https://doi.org/10.1108/JIMA-10-2019-0200
48.
MyyryL., SiponenM., PahnilaS., VartiainenT., & VanceA. (2017). What levels of moral reasoning and values explain adherence to information security rules? An empirical study. European Journal of Information Systems, 18(2), 126–139. https://doi.org/10.1057/EJIS.2009.10
49.
NarayananJ., SanjeeviV., RohiniU., TruemanP., & ViswanathanV. (2016). Postprandial glycemic response of foxtail millet dosa compared to rice dosa in patients with type 2 diabetes. The Indian Journal of Medical Research, 144(5), 712. https://doi.org/10.4103/ijmr.IJMR_551_15
50.
NguyenH. V., NguyenC. H., & HoangT. T. B. (2019). Green consumption: Closing the intention-behavior gap. Sustainable Development, 27(1), 118–129. https://doi.org/10.1002/SD.1875
51.
NguyenL. T., NguyenT. H., NguyenH. N., NguyenL. D., NguyenD. T. T., & LEL. D. (2023). Determinants of green consumer behavior: A case study from Vietnam. Cogent Business & Management, 10(1). https://doi.org/10.1080/23311975.2023.2197673
52.
NorrisF. K.Jr., ReillyM., & CarsrudA. L. (2000). Competing models of entrepreneurial intentions. Journal of Business Venturing, 15(5–6), 411–43. https://doi.org/10.1016/S0883- 9026(98)00033-0
53.
NunnallyB. L. (1994). Psychometric theory (p. 752, Vol. 4, 3rd ed.). Tata McGraw-Hill Education.
54.
PaulJ., ModiA., & PatelJ. (2016). Predicting green product consumption using the theory of planned behavior and reasoned action. Journal of Retailing and Consumer Services, 29, 123–134. https://doi.org/10.1016/j.jretconser.2015.11.006
55.
PIB. (2023, June21). Millet (Bajra) production: Country wise production. https://pib.gov.in/PressReleaseIframePage.aspx?PRID=1796514
56.
PoshadriA., DeshpandeH. W., & KshirsagarR. B. (2023). The international year of millets-2023, millets as nutri-cereals of 21st centenary for health and wellness. Agriculture Association of Textile Chemical and Critical Reviews Journal, 7.
57.
PuranikS., KamJ., SahuP. P., YadavR., SrivastavaR. K., OjulongH., & YadavR. (2017). Harnessing finger millet to combat calcium deficiency in humans: Challenges and prospects. Frontiers in Plant Science, 8, 281391. https://doi.org/10.3389/FPLS.2017.01311
58.
SalehA. S. M., ZhangQ., ChenJ., & ShenQ. (2013). Millet grains: Nutritional quality, processing, and potential health benefits. Comprehensive Reviews in Food Science and Food Safety, 12(3), 281–295. https://doi.org/ 10.1111/1541-4337.12012
59.
SamtiyaM., AlukoR. E., DhakaN., DhewaT., & PuniyaA. K. (2023). Nutritional and health-promoting attributes of millet: Current and future perspectives. Nutrition Reviews, 81(6). https://doi.org/10.1093/NUTRIT/NUAC081
60.
SarstedtM., HenselerJ., & RingleC. M. (2011). Multigroup analysis in partial least squares (PLS) path modeling: Alternative methods and empirical results. Advances in International Marketing, 22, 195–218. https://doi.org/10. 1108/S1474-7979(2011)0000022012
61.
SatyavathiC. T., AmbawatS., KhandelwalV., & SrivastavaR. K. (2021). Pearl millet: A climate-resilient nutricereal for mitigating hidden hunger and provide nutritional security. Frontiers in Plant Science, 12, 659938. https://doi.org/10.3389/FPLS.2021.659938
62.
SaxenaN., & SharmaR. (2023). Impact of spirituality, culture, behaviour on sustainable consumption intentions. Sustainable Development, 32(3), 2724–2740. https://doi.org/10.1002/sd.2813
63.
SchiffmanL. G., KanukL. L., & WisenblitJ. (2010). Consumer behavior (10th ed.). Prentice Hall, an imprint of Pearson Education Inc. https://www.worldcat.org/title/297146316
64.
SenreichE. (2013). An inclusive definition of spirituality for social work education and practice. Journal of Social Work Education, 49(4), 548–563. https://doi.org/10.1080/10437797.2013.812460
65.
StillmanT. F., FinchamF. D., VohsK. D., LambertN. M., & PhillipsC. A. (2012). The material and immaterial in conflict: Spirituality reduces conspicuous consumption. Journal of Economic Psychology, 33(1), 1–7. https://doi.org/10.1016/J.JOEP.2011.08.012
66.
SulemanS., SibghatullahA., & AzamM. (2021). Religiosity, halal food consumption, and physical well-being: An extension of the TPB.,Cogent Business & Management, 8(1), 1860385. https://doi.org/10.1080/23311975.2020.1860385
67.
SunithaS., & GururajG. (2014). Health behaviors & problems among young people in India: Cause for concern & call for action. The Indian Journal of Medical Research, 140(2), 185. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216492/
68.
Suresh RajuS. V., & RukmaniA. (2022). Factors influencing consumer buying behavior towards organic millets and pulses In Hyderabad city – A study. International Journal of Economic Perspectives, 16(1), 32–44. Retrieved from https://ijeponline.org/index.php/journal/article/view/78
69.
SynodinosC., MoraesG. H. S.deM., & PradoN. B. do. (2023). Green food purchasing behavior: A multi-method approach of Generation Y in a developing country. British Food Journal (ahead-of-print). https://doi.org/10.1108/bfj-09-2022-0769
70.
TeoT. S. H., SrivastavaS. C., & JiangL. (2014). Trust and electronic government success: An empirical study. Journal of Management Information Systems, 25(3), 99–132. https://doi.org/10.2753/MIS0742-1222250303
71.
TerlauW., & HirschD. (2015). Sustainable consumption and the attitude-behaviour-gap phenomenon - Causes and measurements towards a sustainable development. Proceedings in Food System Dynamics, 199–214. https://doi.org/10.18461/PFSD.2015.1516
72.
TingH., de RunE. C., CheahJ. H., & ChuahF. (2016). Food neophobia and ethnic food consumption intention: An extension of the theory of planned behavior. British Food Journal, 118(11), 2781–2797. http://dx.doi.org/10.1108/BFJ-12-2015-0492
73.
TittleC. R., & HillR. J. (1967). Attitude measurement and prediction of behavior: An evaluation of conditions and measurement techniques. Sociometry, 30(2), 199–213. https://doi.org/10.2307/2786227
74.
TrivediM., BulsaraH. P., & ShuklaY. (2023). Why millennials of smart city are willing to pay a premium for toxic-free food products: Social media perspective. British Food Journal, 125(2). http://doi.org/10.1108/asr-06-2023-0036
75.
TsengM., ChiuA. S., TanR. R., & Siriban-ManalangA. B. (2013). Sustainable consumption and production for Asia: Sustainability through green design and practice. Journal of Cleaner Production, 40, 1–5. https://doi.org/10.1016/j.jclepro.2012.07.015
76.
UrsachiG., HorodnicI. A., & ZaitA. (2015). How reliable are measurement scales? External factors with indirect influence on reliability estimators. Procedia Economics and Finance, 20, 679–686. https://doi.org/10.1016/S2212- 5671(15)00123-9
77.
VermeirI., & VerbekeW. (2006). Sustainable food consumption: Exploring the consumer ‘attitude - Behavioral intention’ gap. Journal of Agricultural and Environmental Ethics, 19(2), 169–194. https://doi.org/10.1007/S10806- 005-5485-3
78.
VermeirI., & VerbekeW. (2008). Sustainable food consumption among young adults in Belgium: Theory of planned behavior and the role of confidence and values. Ecological Economics, 64(3), 542–553. https://doi.org/10.1016/J.ECOLECON.2007.03.007
79.
VinziV. E., TrincheraL., & AmatoS. (2010). PLS path modeling: From foundations to recent developments and open issues for model assessment and improvement. InHandbook of partial least squares (pp. 47–82). Springer. https://doi.org/10.1007/978-3-540-32827-8_3
80.
WangJ., ShenM., & ChuM. (2021). Why is green consumption easier said than done? Exploring the green consumption attitude-intention gap in China with behavioral reasoning theory. Cleaner and Responsible Consumption, 2, 100015. https://doi.org/10.1016/J.CLRC.2021.100015
81.
WangY. (2017). Promoting sustainable consumption behaviors: The impacts of environmental attitudes and governance in a cross-national context. Environment and Behavior, 49(10), 1128–1155. https://doi.org/10.1177/0013916516680264
82.
YadavR., & PathakG. S. (2017). Determinants of consumers’ green purchase behavior in a developing nation: Applying and extending the theory of planned behavior. Ecological Economics, 134, 114–122. https://doi.org/10.1016/J.ECOLECON.2016.12.019
83.
ZhouY., ThøgersenJ., RuanY., & HuangG. (2013). The moderating role of human values in planned behavior: The case of Chinese consumers’ intention to buy organic food. Journal of Consumer Marketing, 30(4), 335–344. https://doi.org/10.1108/JCM-02-2013-0482
