Main Article Content
Abstract
This study aims to analyze how Information Overload impacts decision difficulty mediated by Consumer Confusion on generation Z in Jepara. The target of this study is generation Z in Jepara. This study uses quantitative methods. The source of research data uses Primary Data. The survey was conducted through Google Form, the sampling method in this study was random sampling, and 310 respondents were taken as samples. This study uses Smart (PLS), with the SmartPLS Version 4.0 application to conduct statistical analysis. The results show that there are findings that Information overload has a positive relationship with decision difficulty, and between consumer confusion and decision difficulty, the results of consumer confusion mediation are positively correlated.
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References
- Arifin, S., & Komaryatin, N. (2020). ENTREPRENEURIAL ORIENTATION, ROLE OF THE GOVERNMENT, AND PARTNERSHIP ON MARKETING PERFORMANCE OF FURNITURE EXPORT SMES: A STUDY ON FURNITURE EXPORT COMPANIES IN JEPARA. Journal of Management and Entrepreneurship Research, 1(1), 24-36. https://doi.org/10.34001/jmer.2020.6.01.1-3
- Broniarczyk, & Griffin. (2014). Decision difficulty in the age of consumer empowerment. 24(4), 608-625.
- Britania, W., & Roosdhani, M. R. (2024). Pengaruh Perceived Quality, Brand Image Dan Brand Trust Terhadap Keputusan Pembelian Produk Skintific (Study Pada Konsumen Di Kabupaten Jepara). Jurnal Ekonomika dan Manajemen, 13(1), 92-106.
- Cheek, Schwartz, & making. (2016). On the meaning and measurement of maximization. 11(2), 126-146.
- Damayanti, & Djastuti. (2023). Studi Empiris Analisis Perilaku Pembelian Online (Online Buying Behavior) Pada Konsumen Generasi Y Muslim Dengan Intention To Buy Sebagai Variabel Mediasi. 9(3), 4440-4450.
- Dharmasena, & Jayathilaka. (2021). The nexus between information and consumer confusion: information provider vs information recipient. 76(3), 594-613.
- Fang. (2019). Customer confusion: product overlap, ambiguous needs, and information overload: an examination of corporate mental models for derivative product creation and their impact on customers. Massachusetts Institute of Technology,
- Francis, Hoefel, & Company. (2018). True Gen’: Generation Z and its implications for companies. 12(2).
- Gao, Liu, Guo, & Li. (2018). The dark side of ubiquitous connectivity in smartphone-based SNS: An integrated model from information perspective. Computers in Human Behavior, 84, 185-193. doi:https://doi.org/10.1016/j.chb.2018.02.023
- Gio. (2022). Partial least squares structural equation modeling (pls-sem) dengan software smartpls: Uwais Inspirasi Indonesia.
- Harpe, S. E. (2015). How to analyze Likert and other rating scale data. Currents in pharmacy teaching and learning, 7(6), 836-850.
- Hu, & Krishen. (2019). When is enough, enough? Investigating product reviews and information overload from a consumer empowerment perspective. Journal of Business Research, 100, 27-37. doi:https://doi.org/10.1016/j.jbusres.2019.03.011
- Hwang, Hong, Tai, Chen, & Gouldthorp. (2020). The relationship between the online social anxiety, perceived information overload and fatigue, and job engagement of civil servant LINE users. Government Information Quarterly, 37(1), 101423. doi:https://doi.org/10.1016/j.giq.2019.101423
- Ji, Ha, & Sypher. (2014). The role of news media use and demographic characteristics in the possibility of information overload prediction. 8, 16.
- Komaryatin, N., Arifin, S., Ali, A., Huda, N., & Roosdhani, M. R. (2025). Exploring Marketing Knowledge, Entrepreneurial Orientation, and Product Innovation on Marketing Performance of Pastry MSME. Jurnal Entrepreneur dan Entrepreneurship, 14(1), 1- 12.
- Komariah, Arief, & Fandiyanto. (2024). PENGARUH E-WOM DAN KERAGAMAN PRODUK TERHADAP MINAT BELI DAN KEPUTUSAN PEMBELIAN PRODUK MAKANAN PADA PENGGUNA GOFOOD, DENGAN PRICE DISCOUNT SEBAGAI VARIABEL PEMODERASI. 3(2), 350-364.
- Lee, Lee, & Lee-Geiller. (2020). The effects of information literacy on trust in government websites: Evidence from an online experiment. International Journal of Information Management, 52, 102098. doi:https://doi.org/10.1016/j.ijinfomgt.2020.102098
- Mohammed, Sha’aban, Jatau, Yunusa, Isa, Wada, . . . disparities. (2021). Assessment of COVID-19 information overload among the general public. 1-9.
- Nasri. (2024). Pengaruh Literasi Digital dan Penggunaan E-Commerce terhadap Minat Berwirausaha Digital pada Generasi Z. 3(3), 305-316.
- Nematzadeh, Ciampaglia, Ahn, & Flammini. (2019). Information overload in group communication: From conversation to cacophony in the twitch chat. 6(10), 191412.
- Özkan, Tolon, & Studies. (2015). The effects of information overload on consumer confusion: An examination on user generated content. 29(1), 27-51.
- Peng, Xu, & Huang. (2021). How does information overload affect consumers’ online decision process? An event-related potentials study. 15, 695852.
- Peukert, & Kloker. (2020). Trustworthy AI: How Ethicswashing Undermines Consumer Trust. Paper presented at the Wirtschaftsinformatik (Zentrale Tracks).
- Rao. (1996). Measuring Consumer Perception Through Factor Analysis, The Asian Manager. In: February-march.
- Roosdhani, Komaryatin, Arifin, Ali, & Huda. (2024). FROM LIKES TO RIDES: HOW SOCIAL MEDIA MARKETING ACTIVITIES TRANSFORMS INTO PURCHASE DECISION IN BUS SERVICES. 7(2), 913-929.
- Sakitri. (2021). Selamat Datang Gen Z, Sang Penggerak Inovasi! Paper presented at the Forum Manajemen.
- Sela, & Berger. (2012). Decision quicksand: How trivial choices suck us in. 39(2), 360-370.
- Sharma, Pandher, & Prakash. (2023). Consumer confusion and decision postponement in the online tourism domain: the moderating role of self-efficacy. Journal of Hospitality and Tourism Insights, 6(2), 1092-1117. doi:10.1108/JHTI-03-2022-0096
- Sharma, Singh, Prakash, & Practice. (2023). Consumer confusion and its consequences in the e-hospitality marketplace: the mediating role of negative emotions. 33(4), 488-510.
- Sicilia, Ruiz, & Applications. (2010). The effects of the amount of information on cognitive responses in online purchasing tasks. 9(2), 183-191.
- Song, Lee, & Moon. (2019). Exploring effective price presentation format to reduce decision difficulty and increase decision satisfaction. 32, 100572.
- Suban, & Tumewu. (2019). ANALYSIS OF CONSUMER’ S CONFUSION IN SELECTING THE DIFFERENT TYPES OF MINERAL WATER IN MANADO. 7(3).
- Walsh, Hennig-Thurau, & Mitchell. (2007). Consumer confusion proneness: scale development, validation, and application. 23(7-8), 697-721.
- Walsh, & Mitchell. (2010). The effect of consumer confusion proneness on word of mouth, trust, and customer satisfaction. 44(6), 838-859.
- Xue, Jo, & Bonn. (2020). Online hotel booking decisions based on price complexity, alternative attractiveness, and confusion. Journal of Hospitality and Tourism Management, 45, 162-171. doi:https://doi.org/10.1016/j.jhtm.2020.08.013
- Zhang, Shen, Xin, Sun, Wang, Zhang, & Ren. (2021). The development and validation of a social media fatigue scale: From a cognitive-behavioral-emotional perspective. 16(1), e0245464.
References
Arifin, S., & Komaryatin, N. (2020). ENTREPRENEURIAL ORIENTATION, ROLE OF THE GOVERNMENT, AND PARTNERSHIP ON MARKETING PERFORMANCE OF FURNITURE EXPORT SMES: A STUDY ON FURNITURE EXPORT COMPANIES IN JEPARA. Journal of Management and Entrepreneurship Research, 1(1), 24-36. https://doi.org/10.34001/jmer.2020.6.01.1-3
Broniarczyk, & Griffin. (2014). Decision difficulty in the age of consumer empowerment. 24(4), 608-625.
Britania, W., & Roosdhani, M. R. (2024). Pengaruh Perceived Quality, Brand Image Dan Brand Trust Terhadap Keputusan Pembelian Produk Skintific (Study Pada Konsumen Di Kabupaten Jepara). Jurnal Ekonomika dan Manajemen, 13(1), 92-106.
Cheek, Schwartz, & making. (2016). On the meaning and measurement of maximization. 11(2), 126-146.
Damayanti, & Djastuti. (2023). Studi Empiris Analisis Perilaku Pembelian Online (Online Buying Behavior) Pada Konsumen Generasi Y Muslim Dengan Intention To Buy Sebagai Variabel Mediasi. 9(3), 4440-4450.
Dharmasena, & Jayathilaka. (2021). The nexus between information and consumer confusion: information provider vs information recipient. 76(3), 594-613.
Fang. (2019). Customer confusion: product overlap, ambiguous needs, and information overload: an examination of corporate mental models for derivative product creation and their impact on customers. Massachusetts Institute of Technology,
Francis, Hoefel, & Company. (2018). True Gen’: Generation Z and its implications for companies. 12(2).
Gao, Liu, Guo, & Li. (2018). The dark side of ubiquitous connectivity in smartphone-based SNS: An integrated model from information perspective. Computers in Human Behavior, 84, 185-193. doi:https://doi.org/10.1016/j.chb.2018.02.023
Gio. (2022). Partial least squares structural equation modeling (pls-sem) dengan software smartpls: Uwais Inspirasi Indonesia.
Harpe, S. E. (2015). How to analyze Likert and other rating scale data. Currents in pharmacy teaching and learning, 7(6), 836-850.
Hu, & Krishen. (2019). When is enough, enough? Investigating product reviews and information overload from a consumer empowerment perspective. Journal of Business Research, 100, 27-37. doi:https://doi.org/10.1016/j.jbusres.2019.03.011
Hwang, Hong, Tai, Chen, & Gouldthorp. (2020). The relationship between the online social anxiety, perceived information overload and fatigue, and job engagement of civil servant LINE users. Government Information Quarterly, 37(1), 101423. doi:https://doi.org/10.1016/j.giq.2019.101423
Ji, Ha, & Sypher. (2014). The role of news media use and demographic characteristics in the possibility of information overload prediction. 8, 16.
Komaryatin, N., Arifin, S., Ali, A., Huda, N., & Roosdhani, M. R. (2025). Exploring Marketing Knowledge, Entrepreneurial Orientation, and Product Innovation on Marketing Performance of Pastry MSME. Jurnal Entrepreneur dan Entrepreneurship, 14(1), 1- 12.
Komariah, Arief, & Fandiyanto. (2024). PENGARUH E-WOM DAN KERAGAMAN PRODUK TERHADAP MINAT BELI DAN KEPUTUSAN PEMBELIAN PRODUK MAKANAN PADA PENGGUNA GOFOOD, DENGAN PRICE DISCOUNT SEBAGAI VARIABEL PEMODERASI. 3(2), 350-364.
Lee, Lee, & Lee-Geiller. (2020). The effects of information literacy on trust in government websites: Evidence from an online experiment. International Journal of Information Management, 52, 102098. doi:https://doi.org/10.1016/j.ijinfomgt.2020.102098
Mohammed, Sha’aban, Jatau, Yunusa, Isa, Wada, . . . disparities. (2021). Assessment of COVID-19 information overload among the general public. 1-9.
Nasri. (2024). Pengaruh Literasi Digital dan Penggunaan E-Commerce terhadap Minat Berwirausaha Digital pada Generasi Z. 3(3), 305-316.
Nematzadeh, Ciampaglia, Ahn, & Flammini. (2019). Information overload in group communication: From conversation to cacophony in the twitch chat. 6(10), 191412.
Özkan, Tolon, & Studies. (2015). The effects of information overload on consumer confusion: An examination on user generated content. 29(1), 27-51.
Peng, Xu, & Huang. (2021). How does information overload affect consumers’ online decision process? An event-related potentials study. 15, 695852.
Peukert, & Kloker. (2020). Trustworthy AI: How Ethicswashing Undermines Consumer Trust. Paper presented at the Wirtschaftsinformatik (Zentrale Tracks).
Rao. (1996). Measuring Consumer Perception Through Factor Analysis, The Asian Manager. In: February-march.
Roosdhani, Komaryatin, Arifin, Ali, & Huda. (2024). FROM LIKES TO RIDES: HOW SOCIAL MEDIA MARKETING ACTIVITIES TRANSFORMS INTO PURCHASE DECISION IN BUS SERVICES. 7(2), 913-929.
Sakitri. (2021). Selamat Datang Gen Z, Sang Penggerak Inovasi! Paper presented at the Forum Manajemen.
Sela, & Berger. (2012). Decision quicksand: How trivial choices suck us in. 39(2), 360-370.
Sharma, Pandher, & Prakash. (2023). Consumer confusion and decision postponement in the online tourism domain: the moderating role of self-efficacy. Journal of Hospitality and Tourism Insights, 6(2), 1092-1117. doi:10.1108/JHTI-03-2022-0096
Sharma, Singh, Prakash, & Practice. (2023). Consumer confusion and its consequences in the e-hospitality marketplace: the mediating role of negative emotions. 33(4), 488-510.
Sicilia, Ruiz, & Applications. (2010). The effects of the amount of information on cognitive responses in online purchasing tasks. 9(2), 183-191.
Song, Lee, & Moon. (2019). Exploring effective price presentation format to reduce decision difficulty and increase decision satisfaction. 32, 100572.
Suban, & Tumewu. (2019). ANALYSIS OF CONSUMER’ S CONFUSION IN SELECTING THE DIFFERENT TYPES OF MINERAL WATER IN MANADO. 7(3).
Walsh, Hennig-Thurau, & Mitchell. (2007). Consumer confusion proneness: scale development, validation, and application. 23(7-8), 697-721.
Walsh, & Mitchell. (2010). The effect of consumer confusion proneness on word of mouth, trust, and customer satisfaction. 44(6), 838-859.
Xue, Jo, & Bonn. (2020). Online hotel booking decisions based on price complexity, alternative attractiveness, and confusion. Journal of Hospitality and Tourism Management, 45, 162-171. doi:https://doi.org/10.1016/j.jhtm.2020.08.013
Zhang, Shen, Xin, Sun, Wang, Zhang, & Ren. (2021). The development and validation of a social media fatigue scale: From a cognitive-behavioral-emotional perspective. 16(1), e0245464.