Between Handholding and Hand-held Devices: Marketing Through Smartphone Innovation and Women’s Entrepreneurship in Post Conflict Economies in Times of Crisis

2023 | Information Systems Frontiers | Citations: 0

Authors: Ameen, Nisreen; Madichie, Nnamdi O.; Anand, Amitabh

Abstract: There is a wide gender gap in developing countries due to a range of cultural, e ... Expand

Abstract: There is a wide gender gap in developing countries due to a range of cultural, economic and political barriers. This is even more accentuated in post conflict economies in times of crisis. Smartphones and mobile applications can help to narrow this gap. The economic and non-economic challenges facing women entrepreneurs and the role of smartphone innovation in overcoming these challenges and developing strong marketing strategies were investigated. We drew on the 5 M model to investigate how mobile applications can support women entrepreneurs. We conducted thirty interviews with women entrepreneurs in Iraq. The findings show that mobile applications provided these entrepreneurs with innovative ways to overcome many of the challenges they face in relation to running a business. The research provides theoretical contributions by developing an integrated, multilevel analytical model on women in entrepreneurship based on extending the 5 M model with new technology-related elements. Practical, policy and managerial implications are discussed. Collapse

Topics: smartphone mobile system mobile application entrepreneurship marketing management

Methods: qualitative interview theoretical contribution personal interview synthesis mathematical model

Theories: theory of economic development

Right Place, Right Time: Configurations of Technology Use for Business Model Innovation

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Böttcher, Timo; Krcmar, Helmut

Abstract: In the rapidly evolving digital era, firms need to innovate their business mode ... Expand

Abstract: In the rapidly evolving digital era, firms need to innovate their business models (BMs) to thrive and benefit from new digital technologies. While digital BM innovation (DBMI) can create competitive advantage through differentiation, firms often struggle to create and extract value from digital technologies. In this paper, we analyze 41 cases of BM change and identify three configurations that lead to DBMI and two configurations that do not. These configurations illustrate the BM elements in which digital technologies are used for DBMI and explain how firms use digital technologies for strategic innovation. Combined with existing research on DBMI, this research provides a missing piece of the puzzle to connect specific technologies in the BM to implement a digital business strategy and undergo a digital transformation. For practical purposes, the findings suggest three alternative strategies for DBMI that identify which elements need to be changed together to achieve DBMI. Collapse

Topics: business model value creation innovation management database system mobile application

Methods: case study survey qualitative content analysis triangulation literature sample

Theories: core competency theory

How smart technology empowers consumers in smart retail stores? The perspective of technology readiness and situational factors

2023 | Electronic Markets | Citations: 0

Authors: Chen, Jiahe; Chang, Yu-Wei

Abstract: Smart retail stores have been gaining momentum in smart retailing. Instead of re ... Expand

Abstract: Smart retail stores have been gaining momentum in smart retailing. Instead of relying on in-store staff like traditional counterparts, smart retail stores provide an unmanned environment purely enabled by various in-store smart technologies that support customers throughout the shopping journey. This unstaffed operating model also enables smart retail stores to provide competitive prices by reducing labor costs. However, studies have overemphasized the unique value offered by smart technology but discounted the common value strengthened in smart retail. This study applies the situational factor framework to identify both unique and common factors empowered by smart technology from a comprehensive perspective; then, technology readiness is incorporated to explore consumer purchase intentions in smart retail stores. A total of 283 survey data were collected and analyzed. The main results indicate that most situational factors have a direct effect on purchase intention, and technology readiness enhances the unique situational factors enabled directly by smart technology. Collapse

Topics: business model innovation management price management accounting

Methods: survey structural equation modeling statistical power analysis partial least squares regression partial least squares path modeling

Let Artificial Intelligence Be Your Shelf Watchdog: The Impact of Intelligent Image Processing-Powered Shelf Monitoring on Product Sales

2023 | Management Information Systems Quarterly | Citations: 0

Authors: Deng, Yipu; Zheng, Jinyang; Huang, Liqiang; Kannan, Karthik

Abstract: We collaborated with a leading fast-moving consumer goods (FMCG) manufacturer t ... Expand

Abstract: We collaborated with a leading fast-moving consumer goods (FMCG) manufacturer to investigate how intelligent image processing (IIP)-based shelf monitoring aids manufacturers' shelf management by using data from a quasi-experiment and a field experiment. We discovered that such artificial intelligence (AI) assistance significantly and consistently improves product sales. Several underlying mechanisms were revealed by our quantitative and qualitative analysis. First, retailers are more likely to comply due to the greater monitoring effectiveness enabled by AI assistance. Second, the positive effect of IIP-based shelf monitoring partially persists after it is terminated, implying that human learning takes place. Third, the value of IIP-based shelf monitoring can be attributed to independent retailers rather than chain retailers. Since the degree of contract heterogeneity is the major difference between these retailers in terms of monitoring, this finding further suggests that AI is relatively more scalable when coping with more heterogeneous instances. Apart from these great benefits, we demonstrate the low marginal costs of implementing IIP-powered shelf monitoring, which indicates its long-term applicability and potential to generate incremental value. Our research contributes to several literature streams and provides managerial insights for practitioners who consider AI-assisted operational models. Collapse

Topics: artificial intelligence organizational value cost benefit analysis mobile application human AI collaboration

Methods: experimental group field experiment qualitative interview experiment quasi experiment

Exploring the Synergies in Human-AI Hybrids: A Longitudinal Analysis in Sales Forecasting

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Fahse, Tobias; Schmitt, Anuschka

Abstract: Despite the promised potential of artificial intelligence (AI), insights into r ... Expand

Abstract: Despite the promised potential of artificial intelligence (AI), insights into real-life human-AI hybrids and their dynamics remain obscure. Based on digital trace data of over 1.4 million forecasting decisions over a 69-month period, we study the implications of an AI sales forecasting system's introduction in a bakery enterprise on decision-makers' overriding of the AI system and resulting hybrid performance. Decisionmakers quickly started to rely on AI forecasts, leading to lower forecast errors. Overall, human intervention deteriorated forecasting performance as overriding resulted in greater forecast error. The results confirm the notion that AI systems outperform humans in forecasting tasks. However, the results also indicate previously neglected, domain-specific implications: As the AI system aimed to reduce forecast error and thus overproduction, forecasting numbers decreased over time, and thereby also sales. We conclude that minimal forecast errors do not inevitably yield optimal business outcomes when detrimental human factors in decision-making are ignored. Collapse

Topics: artificial intelligence task productivity decision making IT productivity usability

Methods: digital trace data longitudinal research theory development ordinary least square qualitative interview

Theories: technology acceptance model socio technical theory

Cognitive load during planned and unplanned virtual shopping: Evidence from a neurophysiological perspective

2023 | International Journal of Information Management | Citations: 0

Authors: Kakaria, Shobhit; Saffari, Farzad; Z. Ramsøy, Thomas; Bigné, Enrique

Abstract: Rapid adoption of virtual-reality-assisted retail applications is inadvertently ... Expand

Abstract: Rapid adoption of virtual-reality-assisted retail applications is inadvertently reshaping consumer buying pat­ terns, making it crucial for businesses to enhance their shopping experience. This new scenario challenges marketers with unique hurdles in both the commercialization of products and in managing information cues derived via VR retailing. Therefore, this study examined consumers’ impulsive behavior and unplanned pur­ chases in a virtual retail store, using self-reports and electroencephalography. Borrowing assorted perspectives from retailing, virtual reality, and neuromarketing literature, we extended the stimulus-organism-response framework to evaluate how unplanned behavior evolves through conscious and unconscious measures. We found that consumers’ impulsiveness was significantly associated with their unplanned expenditure and the number of unplanned purchases. Using mediation analysis, we observed that flow experience during shopping partially mediated the relationship between the sense of presence and the desire to stay longer in a virtual shopping store. Desire to stay in the virtual store positively influenced store satisfaction, basket-size deviation, and budget deviation. Additionally, cognitive workload obtained via electroencephalogram revealed significant differences during both planned and unplanned purchases. These findings provide fresh opportunities for re­ tailers to leverage the disruptive potential of immersive and interactive virtual technology to transform consumer shopping experiences. Collapse

Topics: virtual reality decision making psychological ownership social media marketing management

Methods: electroencephalography self reported survey longitudinal research neurophysiology experiment

Customer Responses to (Im)Moral Behavior of Service Robots Online Experiments in a Retail Setting

2023 | HICSS | Citations: 0

Authors: Kegel, M.; Stock-Homburg, R.

Abstract: Service robots play an increasingly important role in the service sector. Drawi ... Expand

Abstract: Service robots play an increasingly important role in the service sector. Drawing on moral psychology research, moral foundations theory as well as the computers-as-social-actors (CASA) paradigm, this experimental study containing of four online experiments examines the extent to which the moral or immoral behavior of a service robot affects customer responses during a service interaction. This study contributes to design science by defining, conceptualizing and operationalizing morality of service robots and developing a corresponding vignette as basis to manipulate (im)moral robotic behavior in a retail setting. To investigate possible effects of the robot's appearance, we tested our hypotheses with two different robots, i.e., a humanoid robot and an android robot. Results from the online experiment indicate that the (im)moral behavior of service robots at the customer interface has a significant effect on customers' trust and customers' ethical concerns towards the robot. Collapse

Topics: robotic data quality marketing management

Methods: experiment design science data transformation Student's t-test factor analysis

Theories: uncanny valley theory

Reidentification Risk in Panel Data: Protecting for k-Anonymity

2023 | Information Systems Research | Citations: 0

Authors: Li, Shaobo; Schneider, Matthew J.; Yu, Yan; Gupta, Sachin

Abstract: We consider the risk of reidentification of panelists in marketing research data ... Expand

Abstract: We consider the risk of reidentification of panelists in marketing research data that are widely used to obtain insights into buyer behavior and to develop marketing strategy. We find that 17%–94% of the panelists in 15 frequently bought consumer goods categories are subject to high risk of reidentification through a potential record linkage attack based on their unique purchasing histories even when their identities are anonymized. We first demonstrate that the risk of reidentification is vastly understated by unicity, the conventional measure. Instead, we propose a new measure of reidentification risk, termed sno-unicity, which accounts for the longitudinal nature of panel data, and show that it is much larger than unicity. To protect the privacy of panelists, we consider the well-known privacy notion of k-anonymity and develop a new approach called graph-based minimum movement k-anonymization (k-MM) that is designed especially for panel data. The proposed k-MM approach can be formulated as an optimization problem in which the objective is to minimally distort variables in the original data based on weights that users prespecify corresponding to their use case. We further show how our approach can be extended to achieve l-diversity. We apply the k-MM approach to two different panel data sets that are widely used in marketing research. To achieve a given privacy level, compared with several benchmark protection methods, the protected data from our method result in the least distortion in inferences about key marketing metrics, such as brand market shares, share of category requirements, brand switching rates, and marketing-mix parameters estimated from a hierarchical Bayesian brand choice model. History: Param Singh, Senior Editor and Associate Editor. Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2022.1169. Collapse

Topics: privacy marketing management differential privacy data protection record linkage

Methods: longitudinal research optimization model descriptive statistic simulation cluster analysis

Digitizing local search: An empirical analysis of mobile search behavior in offline shopping

2023 | Decision Support Systems | Citations: 0

Authors: Molitor, Dominik; Daurer, Stephan; Spann, Martin; Manchanda, Puneet

Abstract: Mobile devices have become increasingly prevalent in the context of consumers’ o ... Expand

Abstract: Mobile devices have become increasingly prevalent in the context of consumers’ offline search and shopping behavior by acting as personal decision support tools. This paper investigates the relationship between con­ sumers’ real-time location and their search behavior when shopping offline. We develop two location-specific measures based on mobile device usage to analyze the association between a consumer’s real-time location and their search behavior: Present store distance and present store density. We apply these measures to a unique dataset from a leading mobile product information app that includes >13 million search sessions from 2.5 million consumers searching for 1.8 million different products. Our findings show that store distance and store density significantly influence consumers’ mobile search behavior: detailed searches for product-specific attributes (search depth) increase as store distance decreases and store density increases, while the number of jointly searched products within the same category (search breadth) increases as store distance and density increase. We also find that durable products weaken the main effects of store distance and density on search depth but strengthen it for search breadth. These results provide insights for offline retailers to better understand locationspecific consumer demands and improve their mobile in-app targeting and product assortment decisions. Collapse

Topics: mobile application mobile system geographic information system global navigation satellite system location based service

Methods: descriptive statistic statistical hypothesis test theory development likelihood-ratio test robustness check

Theories: construal level theory

Theorizing about the Early-Stage Diffusion of Codependent IT Innovations

2023 | Journal of the Association for Information Systems | Citations: 0

Authors: Parameswaran, Srikanth; Kishore, Rajiv; Yang, Xuanhui; Liu, Zhenyu

Abstract: In this paper, we focus on the early-stage diffusion of codependent IT innovatio ... Expand

Abstract: In this paper, we focus on the early-stage diffusion of codependent IT innovations, which are a type of innovation in which the overall innovation consists of two complementary parts that are adopted by two different adopter communities but where both parts need to be jointly adopted by the two coadopter communities for successful diffusion of the overall innovation. Using innovation diffusion, organizing vision (OV), and institutional entrepreneurship theories as the key theoretical lenses, and an in-depth case study reconstructed using 20 years of discourse surrounding Walmart’s campaign in the early stage of diffusion of the RFID-in-retailing technology, we develop a fourphase process model for the early-stage diffusion of codependent IT innovations. We make three specific contributions to the IS discipline, specifically to the literature on IS innovation adoption and diffusion. First, we add the notion of coadopter relative advantage and posit that the organization in the coadopter community with a higher coadopter relative advantage that perceives the highest degree of coadopter relative advantage will emerge as an institutional entrepreneur (IE) and will influence the early-stage diffusion of the codependent IT innovation. Second, we add the notion of an internal-external influencer and posit that the IE may be an actor who is internal to the overall adoption phenomenon, which involves two different coadopter communities, but external to the coadopter community with a lower coadopter relative advantage that adopts the innovation component. Third, we divide the early-stage diffusion process into four phases—emergence, structuralization, evolution, and chasm—and identify the institutional entrepreneurship strategies used and the OV functions enacted by the IE during each phase. We propose that the IE for a codependent innovation will: (1) use the rationale development strategy and enact the interpretation OV function during the emergence phase, (2) use the resource mobilization strategy and enact the mobilization OV function during the structuralization phase, (3) use the relationship development strategy and enact the legitimation OV function during the evolution phase, and (4) use all the three institutional entrepreneurship strategies and enact all the three OV functions during the chasm phase. Collapse

Topics: innovation management radio frequency identification entrepreneurship digital innovation diffusion of innovation

Methods: case study business process modeling theory development theoretical contribution qualitative interview

Theories: diffusion of innovations theory