Search results

Considering that users’ information privacy concerns may affect the development of e-commerce, the purpose of this paper is to explore what drives internet users’ willingness to provide personal information; further, the paper examines how extrinsic rewards moderate the relationship between users’ information privacy concerns and willingness to provide personal information.

Data collected from 345 valid internet users in the context of electronic commerce were analyzed using the partial least squares approach.

The result showed that agreeableness, risk-taking propensity and experience of privacy invasion were three main antecedents of information privacy concerns among the seven individual factors. Additionally, information privacy concerns did not significantly affect users’ willingness to provide personal information in the privacy calculation mechanism; however, extrinsic rewards directly affected users’ disclosure intention. The authors found that extrinsic rewards had not moderated the relationship between users’ information privacy concerns and their willingness to provide personal information.

This study is an exploratory effort to develop and validate a model for explaining why internet users were willing to provide personal information. The results of this study are helpful to researchers in developing theories of information privacy concerns and to practitioners in promoting internet users’ willingness to provide personal information in an e-commerce context.

This paper aims to study the adoption of mobile technology in business and its determinants. A diagnostic tool for proper adoption of mobile technology is developed.

Grounded on the fit‐viability framework, the paper uses a multi‐case study via the fit and viability dimensions to examine the success or failure of mobile technology applications in business.

By drawing upon multiple streams of theory building, the paper is able to develop a set of measurement instruments to assess the fit and viability in adopting mobile technology. The findings demonstrate that the fit‐viability model (FVM) provides useful guidelines for enterprises in their decisions on whether to adopt a mobile technology.

First, the theoretical generalizability of the FVM needs to be more carefully observed in future studies. Second, the findings are exploratory and more extensive studies may be necessary.

Chief information officers and managers can use the developed instrument to measure the fitness and viability of implementing mobile technology in organizations. This should be able to increase the possibility of success.

This is one of the first papers to combine the fit and viability aspects and to empirically demonstrate the value of this two‐dimensional model.

The purpose of this paper is to investigate the effects of brand strategies and spokesperson expertise on consumer responses to hypermarket private-label products by combining concepts from consumer attitude change, resistance to persuasion and construal level theory (CLT).

Two experiments were conducted to test the propositions.

Consumers perceived the low-price (low-quality) characteristic of private-label products as a high-level (low-level) construal consideration when forming purchase decisions. Product relevance negatively affected consumers’ perceived product distance. Compared with store brands, separate brands enhanced consumer product attitudes and purchase intentions. Brand strategies and product distance affected consumer message-processing mindset (i.e. resistant to persuasion or open to persuasion) when processing advertisements, ultimately moderating the effect of spokesperson expertise.

The findings are useful for hypermarkets seeking to implement brand strategies and select spokespersons for private-label products. Additionally, the findings show that advertisers should design advertising elements to match consumers’ construal approaches to product-related information.

This study contrasts two common hypermarket brand strategies, identifies the construal levels corresponding to the dual roles of private-label products and expands CLT dimensions. Additionally, the results bridge two research approaches (persuasion and resistance to persuasion) and demonstrate the pivotal influence of brand strategies. The findings also advance understanding of the effects of spokesperson expertise and contribute to resistance theory by showing how to effectively reduce attitude certainty after resistance to persuasion.

Inaction inertia is the phenomenon in which people are less likely to accept an opportunity after having previously missed a relatively superior one. This research explores how framing quantity promotions as either a freebie (e.g. “buy 1, get 1 free”) or a price bundle (e.g. “buy 2, get 50% off”) influences inaction inertia. Relevant mediators are also identified.

Three experiments, two using imaginary scenarios and one using an incentive-compatible design, test the hypotheses.

Consumers who miss a freebie quantity promotion express higher inaction inertia than consumers who miss a price bundle promotion. The cause of this difference is higher perceived regret and greater devaluation that result from missing a superior freebie (vs price bundle) promotion.

Future research should examine how factors influencing perceived regret and devaluation moderate the quantity promotional frame effect on inaction inertia.

The findings provide insights into which quantity promotional frames practitioners should use to reduce inaction inertia.

This study's comprehensive theoretical framework predicts quantity promotional frame effects on inaction inertia and identifies relevant internal mechanisms. The findings are evidence that inaction inertia is caused by both perceived regret and devaluation in certain contexts. Furthermore, this study identifies the conditions in which a price bundle promotional frame is more beneficial than a freebie promotional frame.

The purpose of this paper is to develop a decision support tool to use with design for additive manufacturing (DfAM) and design for supply chain (DfSC) such that the Supply Chain (SC) configuration for a personalized product can be optimized under various demand uncertainties.

A simulation-based methodology is proposed in this industry-university cooperative research. Through identifying the company requirements with interview, an application programming interface (API) and simulation model were developed to solve the DfAM and DfSC problems of case company. Based on customer preference, the SC configuration is analyzed and suggestions are developed according to simulation results at the product design.

Results show the supplementary capacity of the additive manufacturing (AM) process improves the SC performance in terms of lead time and total cost. This work identifies the research gap between AM and SC, and gives a comprehensive investigation of different performance indicators, such as order fulfill rate and waste rate.

Metal AM technology was not in the mass production stage at the time of this study. Thus, this research mainly emphasizes a nonmetal AM process.

AM technology can improve SC performance through its supplementary capacity and help the SC to be more flexible, robust and resilient in terms of lead time and total cost. This research implements an API to assist decision making. The findings of this research provide case company a valuable reference while branching its business.

This is the first study that considers both DfAM and DfSC with the integration of an API. It also addresses the demand fluctuation level and stochastic demand of a personalized product in a unique approach.

The purpose of this paper is to review existing literature on users’ digital learning acceptance behavior and to identify gaps in the current body of knowledge and suggest future research directions. The paper also includes identification of motivating as well as inhibiting factors previously explored by academicians in the acceptance of digital learning.

The systematic literature review based on PRISMA methodology was conducted, and 200 articles from peer-reviewed journals on digital learning acceptance behavior using technology adoption theories were examined.

The study found an overall rise in the number of papers published yearly during 2002–2017. Most of the studies were published in two journals, i.e. Computers & Education and Computers in Human Behaviour and were carried out in Asia followed by Europe, North America, Africa, Oceania and South America. It was also noted that most of the studies have used the technology acceptance model and were empirical in nature. The study also found that prominently students’ digital learning acceptance behavior was investigated. The review also indicates a lack of qualitative and mixed method (qualitative and quantitative) approaches to study digital learning acceptance behavior.

The study identified gaps in the current body of knowledge by reviewing published articles that will suggest future directions for further research. The top three determinants of digital learning acceptance that have been analyzed were the behavioral intention, perceived usefulness and perceived ease of use, followed by attitude and user behavior. The study articulates the implications for providers in marketing digital learning products, for higher education institution in expanding digital content, for students seeking digital education tools, for educators in motivating students to accept digital learning and for governments in delivering cost-effective public education by utilizing digital learning.

The paper analyzes 200 publications on digital learning acceptance through technology adoption theories. To the best of the authors’ knowledge, this is the first initiative to provide systematic and exhaustive summarization of the knowledge in this subject. It further explores the various factors influencing digital learning adoption behavior and provides avenues for future research. The paper is useful for researchers working on digital learning acceptance behavior.

The purpose of this paper is to investigate the interactions among enterprise resource planning (ERP) practices, supply chain orientation (SCO), and operational performance (OPER) by forming a macro perspective based on a scientific foundation powered by a resource-based view.

Exploratory and confirmatory factor analyses were used to verify the underlying dimensions of SCO and ERP practices. The covariance-based structural equation modeling was employed to test the direct and indirect effects of SCO and ERP practices constructs on OPER.

Results revealed that SCO has significant and positive effects on OPER, whereas ERP practices do not. Moreover, the indirect effect of ERP practices with the mediating effects of SCO is stronger than their direct effects. In addition, the origin of the ERP practices is found to be an important critical success factor.

Although much research has investigated the direct effect of ERP practices on performance, this study points out the importance of SCO in observing the stronger impacts of ERP practices.