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Mobile telecommunication service providers endeavor to mitigate the declining voice service revenue through popularization of mobile value‐added services (MVASs). To understand determinants that influence mobile phone subscribers' intentions to use MVASs, this study aims to investigate the influences of perceived playfulness and information systems (IS) quality on mobile phone subscribers' intentions to use MVASs.

An online survey involving 304 subjects was conducted, followed by a partial least squares (PLS) analysis, which yielded strong evidence in support of our proposed research model.

The results confirmed that information quality, system quality, and service quality serve as important antecedents of perceived ease of use and usefulness among mobile phone subscribers. Additionally, the authors found that the perceived playfulness of MVASs mediates the influence of perceived ease of use on intentions of mobile phone subscribers to adopt the services. The comparison between experienced and inexperienced users also suggests that inexperienced subscribers are attracted to MVASs that satisfy their need for information or play, whereas experienced subscribers tend to take into account system and service qualities.

Self‐selection within the online data collection process was unavoidable; in addition, this study was unable to perform a comparison across different mobile phone subscriber groups and was limited to those MVASs available at the time of data collection.

The results of this study can assist mobile telecommunication service providers in understanding the critical determinants that influence mobile phone subscribers' decisions to adopt MVASs. Besides IS quality factors, the results suggest that service providers should also value the quality of perceived playfulness, which reflects user engagement and enjoyment of the services, beyond usefulness alone.

This study contributes to the understanding of MVAS adoption by introducing IS quality factors and perceived playfulness to current theoretical models; and, furthermore, provides sound evidence that information quality, system quality, service quality, and perceived playfulness are critical factors that influence consumer decisions to adopt these services.

Based on past study, three different value constructs, including social value, hedonic value, and epistemic value, were adopted in this study to examine their influence on individual's stickiness to use Facebook. Besides, this paper aims to explore how “trust” affects the personal usage behaviors.

The research model was tested with data from 345 Facebook's users using a web survey. The partial least squares technology was used to test the proposed hypotheses.

Results confirmed that hedonic value served as important value concerns for Facebook users. Besides, considering trust factor, the respondents can be classified into two groups. In the high-trust group, social value and hedonic value produced significant impacts on stickiness. In the low-trust group, the statistical results show that epistemic value and hedonic value had impacts on the stickiness for Facebook web site use, but social value aspect had no significant impact.

The respondents were mainly the subjects that belonged to the young age group in Taiwan. Therefore, it should be cautious to generalize the conclusions to other areas or the elder.

This study results facilitate web site operators and marketing researchers to understand what value factors and trust affect the user stickiness of Facebook. Their marketing plan and application plug-in can be accordingly adjusted.

This study provides positive evidences how value factors affect Facebook stickiness. The paper also proved that high-trust and low-trust people have different value models.

The purpose of this paper is to examine the factors influencing ambidextrous governance and risk management on repurchase intention in social commerce.

A novel research model comprises nine research hypotheses with six constructs, including three dimensions of social capital (structural, relational and cognitive), contracts, relational risk and repurchase intention. The hypotheses are tested on data collected from 395 usable responses in Taiwan, using structural equation modeling.

The findings of this study indicate that online merchants should reinforce their collaborative behavior and activities to improve ambidextrous governance mechanisms, and thus enhance repurchase intention.

The resultant findings only reflect the setting of Taiwan’s social commerce marketplace. With the research model developed, future research on cross-country studies of various forms of social networking sites would be worth conducting to determine regional differences in the development of social commerce activities.

Ambidextrous governance mechanisms have been gaining attention in buyer–supplier relationships. Extending ambidexterity research to the social commerce domain, the authors focus on ambidextrous governance that can include social and contractual governance elements.

This study uses migrant household survey data from 2008 to 2009 to examine how parental migration decisions are associated with the nutritional status of children in rural and urban China. Results from instrumental variables regressions show a substantial adverse effect of children’s exposure to parental migration on height-for-age Z scores of left-behind children relative to children who migrate with their parents. Additional results from a standard Blinder–Oaxaca decomposition, a quantile decomposition, and a counterfactual distribution analysis all confirm that children who are left behind in rural villages – usually because of the oppressive hukou system – have poorer nutritional status than children who migrate with their parents, and the gaps are biggest at lower portions of the distribution.

The purpose of this paper is to elucidate the methodology of total interpretive structural modeling (TISM) in order to provide interpretation for direct as well as significant transitive linkages in a directed graph.

This study begins by unfolding the concepts and advantages of TISM. The step-by-step methodology of TISM is exemplified by employing it to analyze the mutual dependence among inhibitors of smartphone manufacturing ecosystem development (SMED). Cross-impact matrix multiplication applied to the classification analysis is also performed to graphically represent these inhibitors based on their driving power and dependence.

This study highlights the significance of TISM over conventional interpretive structural modeling (ISM). The inhibitors of SMED are explored by reviewing existing literature and obtaining experts’ opinions. TISM is employed to classify these inhibitors in order to devise a five-level hierarchical structure based on their driving power and dependence.

This study facilitates decision makers to take required actions to mitigate these inhibitors. Inhibitors (with strong driving power), which occupy the bottom level in the TISM hierarchy, require more attention from top management and effective monitoring of these inhibitors can assist in achieving the organizations’ goals.

By unfolding the benefits of TISM over ISM, this study is an endeavor to develop insights toward utilization of TISM for modeling inhibitors of SMED. This paper elaborates step-by-step procedure to perform TISM and hence makes it simple for researchers to understand its concepts. To the best of the authors’ knowledge, this is the first study that analyzes the inhibitors of SMED by utilizing TISM approach.

The purpose of this paper is to identify the success factors for supply chain in Indian small- and medium-scale enterprises (SMEs) and establish a causal relationship among them. In the present scenario, the SMEs are under huge pressure to achieve the supply chain competitive advantage and to improve operation and logistic effectiveness and, at the same time, remain tractable to the demand uncertainty and volatility in the market. To enhance the performance of supply chain in SMEs, the managers need to identify the internal as well as the external factors that affect the supply chain performance of SMEs in India. They need to understand the causal relationship of these factors.

There may be a number of factors that are critical for achieving acceptable supply chain performance, and these factors have been identified by principal component analysis (PCA). In all, 29 factors have been identified by using PCA and the dominating 29 factors are categorized into 6 constructs, and finally, the structural equation modelling (SEM) methodology using the AMOS 4.0 program has been adopted as the primary methodology for this paper to assess the causal relationship among six constructs.

In this paper, the authors analyzed the structural relations among information technology (IT), logistic effectiveness, operational effectiveness, customer relationship, supplier relationship and SCM competitive advantage. Results indicate that IT holds the key to achieve the SCM competitive advantage in SCM practices of SMEs in India.

The proposed models for enabling factors are tested in firms with a limited numbers of factors in highly competitive environment. More factors may be incorporated, which will help for a clear understanding and establishing the causal relationship among the various enabling factors.

Although managers of Indian SMEs are aware of various enabling factors, a systematic approach is required for identifying enabling factors, and as these factors may have complex interrelation between them for analyzing supply chain performance in SMEs, it is essential that such an approach is in place. The paper presented here will help the SMEs managers in identifying the areas in which they need to focus their attention to improve SCM practices. A structural equation modelling is developed to show the complex relationship between the factors that affect the performance. In addition to that, the proposed structural equation model acts as a good guideline to improve the performance of the supply chain in India.

The paper provides a structural equation model to develop a map of the causal relationships and magnitude among identified enabling factors.

The purpose of this paper is to review the literature on supply chain management (SCM) practices in small and medium scale enterprises (SMEs) and outlines the key insights.

The paper describes a literature‐based research that has sought understand the issues of SCM for SMEs. The methodology is based on critical review of 77 research papers from high‐quality, international refereed journals. Mainly, issues are explored under three categories – supply chain integration, strategy and planning and implementation. This has supported the development of key constructs and propositions.

The research outcomes are three fold. Firstly, paper summarizes the reported literature and classifies it based on their nature of work and contributions. Second, paper demonstrates the overall approach towards the development of constructs, research questions, and investigative questions leading to key proposition for the further research. Lastly, paper outlines the key findings and insights gained.

Survival of SMEs will be determined first and foremost by their ability to provide/produce more, at less cost, in less time, with few “defects”. The key to this is effective SCM. The issue is much explored in the context of large enterprises but less attention is paid to SMEs. Paper aims to surface out some facts for the same. Originality/value The paper reports‐classifies the literature and development of construct and propositions.