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The aim of this study is to investigate the effects of different virtual product experiences (VPEs, interpersonal and machine) on sense of virtual community (SOVC) for consumers. Furthermore, parasocial interaction (PSI) and the sequence of VPEs likely moderate the relationship between different combinations of VPEs and SOVC.

The study employed a factorial online experimental design: 8 (combinations of VPEs, between subjects) x 2 (sequences of VPEs, between subjects). Participants were randomly assigned to the 16 groups.

The results show that with a high degree of PSI, the “escapism + social” VPEs group has the greatest beneficial effects on SOVC, whereas with a low degree of PSI, the “aesthetics + information” VPEs group has the greatest beneficial effects on SOVC. Besides, in VPES sequence 1 (interpersonal → machine), the “escapism + social” VPEs group has a greater effect on SOVC, whereas in sequence 2 (machine → interpersonal), there was no statistically significant difference for VPEs combinations relative to SOVC.

This study determines that consumers with different degrees of PSI differ from one another regarding their interactions with web sites and communities. Therefore, the characteristics of PSI provide manufacturers with various marketing strategies for interaction. The combinations and sequences of interpersonal and machine VPEs in this study can provide manufacturers with suggestions for appropriate online shopping web site design.

Although the importance of these virtual experiences is continuously increasing, there is still a lack of studies that empirically analyze from the combinations of machine interaction and interpersonal interaction of VPEs of the effects on consumer behavior.

The purpose of this paper is to examine the relationship between competitive capabilities, including flexibility and collaboration between logistics service providers (LSPs) and their customers, and relationship quality, as measured by trust, dependence and commitment.

A total of 309 logistics managers were invited to participate in this study and structural equation modeling was performed to analyze the measurement and structural models.

The results show that both flexibility and collaboration positively influence trust and dependence. Moreover, dependence does not appear to influence commitment. Finally, the authors hypothesize and find that trust plays an important role in the research model and positively increase commitment.

The main limitation of this study is that this study used a cross-sectional survey approach to collect data on all research variables. Compared with longitudinal data, cross-sectional data might not be able to demonstrate completely the temporal sequence of the antecedents and consequences, which might result in spurious cause-effect inferences.

The findings offer several important implications for LSPs. First, the findings imply that LSPs need to make their customers want to share useful information related to operations and logistics. Second, flexibility plays an important role in forming customers’ trust in logistics service industry.

Little research has been done on combining a resource-based view (RBV) and relationship marketing (RM) together in logistics service context. Therefore, this study advances the RBV and RM and adds value to the literature by demonstrating the applicability of the observed relationships among LSPs.

Adopting conservation of resources (COR) theory as a guiding framework, this study proposes that benevolent supervision (BS) is a feasible leadership style for building a positive resource gain process in subordinates' extra-role actions and reducing their exhaustion, and leader-member exchange (LMX) and positive affect (PA) serve as indirect crossover mechanisms.

Surveys were conducted at three-time points with four-week intervals. A total of 304 subordinates and 55 supervisors at a Taiwanese university participated in the surveys, and a multilevel model was used to test the hypotheses.

The results showed that prior BS (time 1) was positively associated with subordinates' subsequent LMX and PA (time 2). LMX mediated the relationship between BS and subsequent supervisor-rated contextual performance (time 3), and PA mediated the relationship between BS and subordinate-rated emotional exhaustion (time 3). In addition, supervisors' learning orientation positively moderated the relationship between BS and contextual performance via LMX, whereas supervisors' performance orientation negatively moderated this relationship.

The results of the study encourage leaders to exhibit benevolence toward subordinates, increase subordinates' contextual performance and enhance personal feelings, thereby ultimately benefitting the organization.

This study reveals that BS is a source of resource investment in the process of subordinates' positive job (contextual performance) and personal (emotional exhaustion) resource gains through social exchange (LMX) and affective (PA) crossover mechanisms and that supervisors' goal inclinations impact this process.

The authors empirically evaluated the effect of price promotions on customer quality evaluations and repeat-purchase intentions in coffee chain stores. The moderating role of customer characteristics in this process was also investigated.

Consumers in 12 coffee chain stores were surveyed and 488 usable questionnaires were obtained. Relationships in the test model were examined using structural equation modeling techniques. A multiple-group solution was used to test the moderating effects of consumer characteristics.

The results of structural equation modeling analyses suggested that price-promotion activities at Starbucks in Taiwan had a favorable effect on customer quality evaluations and positively influenced repeat-purchase intentions. The moderating effects of consumer characteristics were partially supported. Whereas sex showed no significant moderating effect, consumption frequency did demonstrate a moderating effect.

The results indicate that existing customers may see price promotions at Starbucks in Taiwan as a reward or incentive, and thus lead to an increase in favorable evaluations. The findings provide a new perspective that may encourage those involved in the marketing of coffee chain stores to manage price promotions in a more strategic manner by considering customer characteristics.

The effects of price promotions on brand evaluation remain controversial and may vary among product categories. Additionally, most studies regarding price promotions have used an experimental approach, and few studies of price promotions in the coffee industry have been reported. The study is among the first to empirically examine the effects of price promotions and the moderating role of consumer characteristics in the process at coffee chain stores.

Generalized structured component analysis (GSCA) and partial least squares path modeling (PLSPM) are two key component-based approaches to structural equation modeling that facilitate the analysis of theoretically established models in terms of both explanation and prediction. This study aims to offer a comparative evaluation of GSCA and PLSPM in a predictive modeling framework.

A simulation study compares the predictive performance of GSCA and PLSPM under various simulation conditions and different prediction types of correctly specified and misspecified models.

The results suggest that GSCA with reflective composite indicators (GSCA_R) is the most versatile approach. For observed prediction, which uses the component scores to generate prediction for the indicators, GSCA_R performs slightly better than PLSPM with mode A. For operative prediction, which considers all parameter estimates to generate predictions, both methods perform equally well. GSCA with formative composite indicators and PLSPM with mode B generally lag behind the other methods.

Future research may further assess the methods’ prediction precision, considering more experimental factors with a wider range of levels, including more extreme ones.

When prediction is the primary study aim, researchers should generally revert to GSCA_R, considering its performance for observed and operative prediction together.

This research is the first to compare the relative efficacy of GSCA and PLSPM in terms of predictive power.

The purpose of this paper is to analyze the influences of relational variables on export performance and the interactions among relational variables in the emerging market context of Malaysia.

The study used a mail questionnaire sent to Malaysian companies that export to Arab-speaking countries and achieved a response rate of 27.92 percent, resulting in a sample of 106 exporters.

The results of the path analyses indicate a positive impact of relational variables (adaptation, cooperation and communication) on export performance. However, the authors found that the impact was mediated by trust and commitment, rather than being direct.

The findings suggest that the impact of relational variables on export performance is complex and indirect. Mediators and moderators play important roles in this relationship.

Firms should invest in export relationships with the aim of building trust and commitment, which are the primary factors that affect export performance.

The authors have shed light on the way relational variables affect export performance. Moreover, this study contributes to a better understanding of small emerging markets, which are poorly represented in studies in this field.