Consumer Information Systems Research Articles

Perceived Value and Adoption Intention for 5G Services in India

Acknowledgment of the significance of environmental factors in technology adoption is widespread. However, empirical investigations into how environmental awareness influences the interconnection between perceived value and adoption intention for 5G services are notably lacking. This study investigates how perceived value shapes consumers’ 5G adoption intentions and how environmental awareness moderates the relationship between perceived value and adoption intention, employing the Value Adoption Model (VAM). Survey items on perceived value, adoption intention, and environmental awareness, drawn from existing literature on consumer value and information systems, were employed to gather data. An online questionnaire was completed by 530 participants from India. The collected data was processed using PLS-SEM. The findings indicate that perceived usefulness and enjoyment are key drivers of adoption, while perceived costs show mixed effects. Notably, technical issues do not negatively impact perceived values, but perceived fees negatively affect the perceived value of 5G services. Overall, perceived value significantly influences 5G adoption intention, with environmental awareness mediating this relationship. The findings offer valuable guidance to 5G service providers in emerging markets and provide policymakers with insights into the interplay of cost-benefits and environmental considerations in 5G service adoption.

Knowledge Management and Linked Data Generation in the CIS Statistics Committee

This article presents the actions implemented by the Interstate Statistical Committee of the CIS (CIS-STAT) in knowledge management information systems, preparation of linked data and «smart» (semantically rich) metadata as part of the CIS data hub that is under construction. Based on the analysis of international experience and after conducting their own long-term research, the authors set out the purpose behind the work – to increase the efficiency and potential of using statistical data by ensuring an unambiguous and meaningful data interpretation, including in consumer information systems. To reach this goal, the authors proposed new approaches and technologies for building a knowledge management system based on the semantic network, which made it possible to link machine-interpretable semantic models with human-readable knowledge representations. Addressing the objective of organizing knowledge about statistical methodology is a key to increasing the potential for using linked data and enabling collaborative processing of statistical data. The proposed methodological and technological approach is aimed at contextualizing a subject area used to develop linked data and generate «smart» metadata. It also provides new opportunities for consumers to work with statistical data and metadata – their interpretation, meaningful analysis, comparison and joint processing. Along with a description of the systems operating cycle, the article provides a meaningful analysis of the issues of harmonizing statistical terminology, identified by practical work with the «Labor Statistics» domain. Special attention is paid to the role of the expert community in developing a knowledge management system

CONSUMER INFORMATION SYSTEM IN WEB-BASED COOPERATIVES: CASE STUDY OF DIRA JAYA SINAR RESKI COOPERATIVE

This study aims to determine the results of the development of consumer information systems at the Dira Jaya Sinar Reski cooperative as well as find out user responses to the system to be developed. This research uses the type of R&D (Research and development) research and prototype development model that uses data collection techniques such as interviews, observations, and questionnaires. Based on the results of the research, a Web-Based Consumer Information System was developed at the Dira Jaya Sinar Reski Cooperative which has been tested using ISO 25010 testing using 8 aspects of testing that have been validated by content experts. The final result of the overall assessment is that the Consumer Information System at the Web-Based Dira Jaya Sinar Reski Cooperative was declared valid by the validator lecturers, and declared effective based on functional suitability aspects, and declared practical based on user responses that have been tested from the usability aspect.

A study of cross-border E-commerce research trends: Based on knowledge mapping and literature analysis.

As a result of the trend toward economic globalization, the vigorous development of cross-border e-commerce has attracted many scholars to study this field, involving many related fields, such as consumer behavior, advertising, information systems, and supply chain management. Throughout the existing literature, it can be found that most of the research focuses on certain influencing factors of the development of cross-border e-commerce, and there is no systematic and macro- overview of the development trend of research in this field in recent years, nor the integration and analysis of keywords. Given that the research in the field of cross-border e-commerce is fragmented to a large extent, to effectively explore the research trend in this field, we must understand the current situation of cross-border e-commerce. Systematic bibliometric analysis can solve this problem by providing publishing trends and information on various topics. Therefore, based on the scientific database web, this study collected 198 references related to cross-border e-commerce from 2016 to 2021, briefly introduced the current situation and development trend of cross-border e-commerce, visually analyzed and refined the journals, authors, research institutions, countries, publication years, keywords, citations of academic publications in this field, and other key information, and summarized the development trend and path of CEBC in the existing research. It is helpful for researchers to solve the current research gap, understand the future research direction in this field, and help academia establish a strict knowledge system.

Bibliometric-Based Evaluation of the Neuromarketing Research Trend: 2010-2021.

Neuromarketing has become a new and important topic in the field of marketing in recent years. Consumer behavior research has received increasing attention. In the past decade, the importance of marketing has also been recognized in many fields such as consumer behavior, advertising, information systems, and e-commerce. Neuromarketing uses neurological methods to determine the driving forces behind consumers’ choices. Various neuroscience tools, such as eye movements, have been adopted to help reveal how consumers react to particular advertisements or objects. This information can be used as the basis for new advertising campaigns and brand promotions. To effectively explore the research trends in this field, we must understand the current situation of neuromarketing. A systematic bibliometric analysis can solve this problem by providing publishing trends and information on various topics. In this study, journals that focused on neuromarketing in the field of marketing between 2010 and 2021 were analyzed. These journals were core journals rated by the Association of Business Schools with three or more stars. According to the data analysis results, neuromarketing has 15 main journals with relevant papers. Based on the data collected by the Web of Science (WOS), this study mainly collected 119 references and analyzed the most productive countries, universities, authors, journals, and prolific publications in the field of neuromarketing via Citespace. Through the analysis of knowledge maps, this study explored the mapping of co-citation, bibliographic coupling (BC), and co-occurrence (CC). Moreover, the strongest citation bursts were used to study popular research at different time stages and analyze the research trends of neuromarketing research methods and tools. This study provides an overview of the trends and paths in neuromarketing, which can help researchers understand global trends and future research directions.

CHANGING PARADIGMS IN ART AND DESIGN AS A CONSUMPTION OBJECT

In this research, the paradigms changing with globalization on the consumer society, capitalism and information systems; it aims to examined through art and design as a consumption object / commodity. In the research, as a tool of the consumer society, new theories and searches that emerged with the globalization process will be presented in terms of their reflections on art and design. Art and design as a consumption object, consumer behavior, cultural formation, populism, branding etc. observed that it evolves continuously with such concepts. The concept of value that creates this motion, it is shaped around the society in the tendency to commodify. From this perspective; the main problem of the research, is the understanding of Art/ Design as a consumption object, it is shaping by changing paradigms in the social process. As a result, the determination of cultural and social norms in the formation of the consumer society seems to be very important in terms of access to the masses. In this context, to be shape or object of the time period we live in, so how to commodify, it varies according to the formation of paradigms in the process. The research, presented to the subject from this perspective, theoretically it is predicted to contribute to the literature to a great extent.

Implementing a Social Determinants Screening and Referral Infrastructure During Routine Emergency Department Visits, Utah, 2017-2018.

Purpose and ObjectivesEmergency departments see a disproportionate share of low-income and uninsured patients. We developed and evaluated a process for identifying social needs among emergency department patients, for facilitating access to community-based resources, and for integrating clinical and community-based data.Intervention ApproachWe leveraged an academic–community partnership to develop a social needs screening tool and referral process.Evaluation MethodsIn a 25-day feasibility trial incorporating rapid improvement cycles, emergency department staff screened 210 patients for social needs. Observational and interview notes were analyzed, and data were linked from patient screenings, the United Way of Salt Lake 2-1-1 consumer information system, and electronic health records.ResultsDomains uncovered during pilot testing included screening based on appearance or insurance; discomfort asking stigmatizing questions; and lack of clarity regarding the screening’s purpose. During the trial, 61% (n = 129) of patients reported 1 or more need, 52% (n = 67) of whom wanted follow-up. Of the 65 patients with complete data who wanted referrals, 49% (n = 32) were ultimately reached by 2-1-1, which provided an average of 4 community referrals (eg, pharmacy programs, utility assistance). Service usage 3 months before versus 3 months after emergency department index dates demonstrated that patients with social needs experienced a significant increase in emergency department use compared with those without needs (1.07 vs 1.36, P = .03), while patients with no needs experienced increases in primary care visits compared with those patients with unmet needs (0.24 vs 0.56, P = .03).Implications for Public HealthWe demonstrated the ability to systematically screen and refer for emergency department patients’ unmet social needs by using existing resources and to link screening results, service referral details, and health service data. However, our experiences demonstrate that widespread implementation efforts should thoughtfully address staff perceptions and patient communication challenges.

Evaluating Online Consumer Medication Information Systems: Comparative Online Usability Study.

BackgroundMedication is the most common intervention in health care, and the number of online consumer information systems within the pharmaceutical sector is increasing. However, online consumer information systems can be a barrier for users, imposing information asymmetries between stakeholders.ObjectiveThe objective of this study was to quantify and compare the usability of an online consumer medication information system (OCMIS) against a reference implementation based on an interoperable information model for patients, physicians, and pharmacists.MethodsQuantitative and qualitative data were acquired from patients, physicians, and pharmacists in this online usability study. We administered 3 use cases and a post hoc questionnaire per user. Quantitative usability data including effectiveness (task success), efficiency (task time), and user satisfaction (system usability scale [SUS]) was complemented by qualitative and demographic data. Users evaluated 6 existing systems and 1 reference implementation of an OCMIS.ResultsA total of 137 patients, 81 physicians, and 68 pharmacists participated in this study. Task success varied from 84% to 92% in patients, 66% to 100% in physicians, and 50% to 91% in pharmacists. Task completion time decreased over the course of the study for all but 2 OCMIS within the patient group. Due to an assumed nonnormal distribution of SUS scores, within-group comparison was done using the Kruskal-Wallis test. Patients showed differences in SUS scores (P=.02) and task time (P=.03), while physicians did not have significant differences in SUS scores (P=.83) and task time (P=.72). For pharmacists, a significant difference in SUS scores (P<.001) and task time (P=.007) was detected.ConclusionsThe vendor-neutral reference implementation based on an interoperable information model was proven to be a promising approach that was not inferior to existing solutions for patients and physicians. For pharmacists, it exceeded user satisfaction scores compared to other OCMIS. This data-driven approach based on an interoperable information model enables the development of more user-tailored features to increase usability. This fosters data democratization and empowers stakeholders within the pharmaceutical sector.

Usability Testing: A Practitioner's Guide to Evaluating the User Experience

It is all too common for products, such as consumer appliances, information systems, mobile apps, and websites, to cause trouble and frustration. For example, products are often difficult or dull to use, make tasks less flexible or more tedious, shift attention away from important or gratifying activities, and simply fail to deliver expected benefits or experiences. By identifying such trouble and frustration in the lab prior to widespread use, usability tests have proven a valuable method for informing redesign efforts. A usability test consists of having test users exercise a product and think aloud about their experience using it, while an evaluator observes the users and listens in on their thoughts. On this basis, the evaluator identifies usability problems and assesses the user experience. This book describes how to conduct usability tests. After providing context about concepts and testing, the main chapters of the book cover the steps involved in preparing for a usability test, executing the test sessions, and analyzing the test data. Throughout the chapters, concrete guidance is balanced against more complex issues with an impact on the robustness, validity, completeness, impact, and cost of a usability test. The book concludes with an outlook to variations of usability testing and alternatives to it.

"The Impact of Goal-Congruent Feature Additions on Core IS Feature Use: When More Is Less and Less Is More"

This research investigates the impact of feature additions on the use of an information system’s (IS) existing core features. Based on prior work in marketing and IS, we hypothesize conflicting effects on the usage of the system as a whole and the IS core due to the goal congruence of the two feature sets. In three consecutive empirical studies, we consider the example of a utilitarian consumer IS in the form of a mobile insurance app with additional weather-related functionality. The statistical results indicate that the goal-congruent feature addition exerts a positive influence on system use, whereas the impact on core IS use is negative. More specifically, we show that the latter effect can be explained by changes in the users’ perceptions of the usefulness and ease of use of the core features. From a theoretical perspective, our work goes beyond the predominant system view of technology acceptance and use by employing a more fine-grained, feature-oriented level of investigation, which opens several avenues for further research regarding the relationships between information systems and the features they comprise. From a managerial perspective, the results help to characterize the detrimental effects that feature additions may have on IS usage. These consequences become particularly relevant when revenue, cost savings, or other benefits on the part of IS operators are linked only to a subset of the entire IS functionality, as in the case of certain web portals or mobile apps.

Sou o que eu Consumo? Smartphones e o Self Estendido a Luz de Paradoxos Tecnológicos

Objetivos: Averiguar o envolvimento dos usurios com relao posse de smartphone e verificar se o mesmo representa uma extenso do self do seu usurio. Buscou-se, tambm, identificar percepes paradoxais quanto a esta tecnologia mvel.Mtodo: A pesquisa se deu com base em uma metodologia qualitativa, com a realizao de entrevistas em profundidade com doze usurios, utilizando a tcnica de anlise de contedo.Resultados: Foi verificado que certos usurios de smartphone possuem forte apego emocional ao seu aparelho, considerando-o uma extenso da sua prpria identidade. Tambm foram evidenciados quatro paradoxos tecnolgicos no comportamento de uso: Dependncia x Independncia, observado pelo desconforto na ausncia do aparelho e ao mesmo tempo a mobilidade que o smartphone proporciona trazendo maior independncia; Autonomia x Vcio; Satisfao x Criao de Necessidades; Novo x Obsoleto.Contribuies tericas: A presente pesquisa abre linhas de investigao que abarcam aspectos vinculados s reas de comportamento do consumidor e sistemas de informao quanto ao uso de smartphones.Originalidade / Relevncia: Devido ao fato de os smartphones serem considerados uma tecnologia recente, a relao sobre self estendido no uso de smartphone ainda foi pouco abordada, tanto na literatura nacional como internacional. Esta pesquisa apoia-se em uma viso integrada de comportamento do consumidor, psicologia e sistemas de informao. As proposies desta pesquisa assumem que o smartphone pode ser considerado uma extenso da identidade do usurio, em decorrncia do grau de envolvimento entre ambos e, como consequncia desse envolvimento, podem emergir paradoxos tecnolgicos, isto , as percepes opostas sobre o uso do smartphone.

Modeling guests’ intentions to use mobile apps in hotels

Purpose The unprecedented development of hotel-branded mobile applications (apps) has been instrumental in facilitating the rich guest–hotel interactions, thus contributing to a high personalization of services. For true personalization, guests need to provide personal information via apps. Yet, no study to date has addressed how guests develop intentions to use such apps given the current personalization and privacy challenges. Therefore, this study aims to investigate hotel guests’ intentions to use hotel apps to access personalized services. Design/methodology/approach Drawing from personalization-privacy theory, this study conceptualized perceived personalization and privacy concerns as distinct constructs while recognizing two different privacy concerns constructs: general and app-specific privacy concerns. To build a comprehensive structural model that is appropriate for explicating intentions to use hotel apps, this study incorporates consumer psychology and information systems theoretical streams that provide constructs that unequivocally capture the unique set of consumer–app interactions in highly experiential settings such as hotels (e.g. innovativeness and involvement). Using a nation-wide sample of hotel guests from the USA, the model was validated using confirmatory factor analysis and structural equations modeling. Findings The predictors explained 79 per cent of the variability in the intentions to use hotel apps to personalize hotel services. The strongest predictor of intentions was involvement, followed by app-related privacy concerns and perceived personalization. Research limitations/implications First, this study’s extended theoretical framework was well supported, as it captures relevant elements of the mobile commerce ecosystem (e.g. personalization and privacy), thus extending the classic paradigmatic approach to information systems adoption beyond system beliefs. Second, this study clarifies the distinct roles of personalization and privacy in the context of hotel apps, which has not been examined in the context of m-commerce in hospitality. Third, the study clarifies the role of involvement as the most critical factor that can influence guests’ intentions to use hotel apps when personalization options and privacy concerns exist. Practical implications This study offers hotel decision-makers a mapping of the factors, leading to use of hotel apps for purchasing personalized hotel services. Originality/value This study provides a first theoretical perspective on the hotel app utilization behaviors that have not been studied so far, but carry a strong strategic and financial significance for the hotel industry (direct distribution, brand consolidation and extensive contact with guests).

What's your choice?

Computing a ranking over choices using consumer data gathered from a heterogenous population has become an indispensable module for any modern consumer information system, e.g. Yelp, Netflix, Amazon and app-stores like Google play. In such applications, a ranking or recommendation algorithm needs to extract meaningful information from noisy data accurately and in a scalable manner. A principled approach to resolve this challenge requires a model that connects observations to recommendation decisions and a tractable inference algorithm utilizing this model. To that end, we abstract the preference data generated by consumers as noisy, partial realizations of their innate preferences, i.e. orderings or permutations over choices. Inspired by the seminal works of Samuelson (cf. axiom of revealed preferences ) and that of McFadden (cf. discrete choice models for transportation), we model the population's innate preferences as a mixture of the so called Multi-nomial Logit (MMNL) model. Under this model, the recommendation problem boils down to (a) learning the MMNL model from population data, (b) finding am MNL component within the mixture that closely represents the revealed preferences of the consumer at hand, and (c) recommending other choices to her/him that are ranked high according to thus found component. In this work, we address the problem of learning MMNL model from partial preferences. We identify fundamental limitations of any algorithm to learn such a model as well as provide conditions under which, a simple, data-driven (non-parametric) algorithm learns the model effectively. The proposed algorithm has a pleasant similarity to the standard collaborative filtering for scalar (or star) ratings, but in the domain of permutations. This work advances the state-of-art in the domain of learning distribution over permutations (cf. [2]) as well as in the context of learning mixture distributions (cf. [4]).

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ARE STUDENTS SATISFIED WITH THE USE OF SMARTPHONE APPS?

No matter what smartphone you use, applications (apps) installed can affect your satisfaction with the use of the smartphone. A smartphone is a consumer device, and smartphone apps are Consumer Information Systems (CIS) that provide value and utility to end-users. Major players in the area of smartphone apps are developers creating apps as well as consumers downloading and using apps. The research focuses on consumer aspects of smartphone apps in terms of their satisfaction with the use of the apps. The study elaborates on factors affecting consumers’ satisfaction such as needs fulfillment, performance improvement, easy to use, easy to understand, security/privacy, and influence of the peer. The study also finds out who are satisfied with smartphone apps in terms of age, gender, frequent user, years of usage, and preference for free apps. A survey was conducted to college students representing consumers. In the study, most respondents were satisfied with the use of smartphone apps, and their satisfaction level was affected by factors such as needs fulfillment, performance improvement, ease of use, security/privacy, and peer influence. It is also found out that consumers of younger age, frequent users, frequent downloaders, having more number of apps on their smartphones, and choosing Android and iOS as their future smartphone platforms were more satisfied while gender, longer years of owning smartphone, preference for free apps, and smartphone platforms currently used did not significantly affect consumers’ satisfaction.

The Impact of California's Full-Service Partnership Program on Mental Health-Related Emergency Department Visits

This study examined the effects of California's 2005 Mental Health Services Act (MHSA) on the use of mental health-related emergency department visits. It focused on one MHSA program, the full-service partnership program, and hypothesized that individuals with public insurance who participate in the higher-quality full-service partnership program would have fewer emergency department visits compared with clients with public insurance who receive usual care. Data were obtained from the Short-Doyle/Medi-Cal (Medicaid) file, the Data Collection and Reporting system, and the Consumer and Service Information System, all maintained by the California Department of Mental Health. The analytic sample covered 931,218 observations (155,203 adults) ages 18 and older from January 2007 to June 2008. The data represented clients from seven counties, which made up 48.5% of the California population. Fixed-effects logistic regression was used and included a continuous measure of time, in quarters, in the full-service partnership program; separate quarter indicators; and quarter-county interaction terms. The model thus controlled for both time-invariant personal characteristics (including personality as well as psychiatric and medical history as of entry into the study) and all time-varying county-level characteristics. Relative to persons receiving usual care, the odds of full-service partnership participants visiting the emergency department were 54% less after four quarters of treatment and 68% less after six quarters. The full-service partnership program was highly effective in reducing emergency visits. A statewide cost-effectiveness study should be conducted to determine the economic viability of the program.

Predicting m-commerce adoption determinants: A neural network approach

M-commerce has continued to grow at an explosive rate. This purpose of this paper is to examine the predictors of m-commerce adoption by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The extended model incorporates additional constructs such as perceived value, trust, perceived enjoyment and personal innovativeness. A non-linear, non-compensatory model is developed to understand the predictors of m-commerce adoptions. Online survey was used to collect data from 140 Chinese users. Neural network analysis was used to predict m-commerce adoption, and the model was compared with the results from regression analysis. The neural network model outperformed the regression model in adoption prediction, and captured the non-linear relationships between predictors such as perceived value, trust, perceived enjoyment, personal innovativeness, users demographic profiles (e.g. age, gender and educational level), effort expectancy, performance expectancy, social influence and facilitating conditions with m-commerce adoption. This study applied neural network to provide further understanding of m-commerce adoption decisions based on a non-linear, non-compensatory model. The UTAUT model was also extended to examine consumer information systems such as m-commerce. The m-commerce study conducted in this research is in China, one of the fastest growing m-commerce markets in the world.

Questionnaire survey of customer satisfaction for product categories towards certification of ergonomic quality in design

Customer satisfaction was surveyed for 6 product categories (consumer electronics, daily commodities, home equipment, information systems, cars, and health appliances) by questionnaires based on the Analytic Hierarchy Process. Analyzing weight of evaluation factors, the 6 product categories were reorganized into 4 categories, those were related to 4 aspects in daily living that formed by two axes: home living - mobility life and healthy life - active communication. It was found that consumers were attracted by the actual user test by public institutes for all product categories. The certification based on the design process standard established by authorities, such as EQUID was the second best attractor for consumers.

Consumer Information Systems as Service Modules: Case Study of IPTV Services

Consumer Information Systems (CIS) are Information Systems, which provide services primarily to consumers instead of addressing needs of users in traditional organizational settings. Examples of such systems are Internet protocol television (IPTV) services, which are being launch globally at the moment. Design of such information systems and software typically involves a trade-off between achieving high service productivity and quality. To this end, the use of modularization has been proposed as a possibility. Our paper presents a framework that can potentially achieve such modularization for consumer information systems. We take the perspective that such modularization should be done at a service systems level and that we should not only regard CIS as software or technology, but as a service provided for consumers. We apply the framework to three New Zealand IPTV service offerings and investigate how it applies. [Service Science, ISSN 2164-3962 (print), ISSN 2164-3970 (online), was published by Services Science Global (SSG) from 2009 to 2011 as issues under ISBN 978-1-4276-2090-3.]

A Conceptual Framework for Consumer Information Systems Development

Consumer information systems (CIS) are an emerging area of inquiry for information systems researchers. IS researchers have traditionally emphasized efficiency and effectiveness of organizational processes and system use. However, design for consumer information systems requires more attention to be paid to processes of value creation embedded in the consumer experience. This shift in focus demands a reconsideration of current information systems development approaches. In this paper we propose a conceptual framework for consumer information systems development. The framework includes six elements of co-creation of consumer value. The framework is illustrated by reviewing the findings from three case studies.