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The purpose of this paper is to examine the impact of the customer- and firm-focused driving factors, relationship quality (RQ), and identification on customer citizenship behaviors (CCB) on corporate social networking sites (SNS), as well as the impact of service attribute in such relationship.

A survey was conducted among the Facebook members of 7-Eleven (318) and Starbucks (316) in Taiwan to test the proposed framework. A structural equation modeling was used to test the validity of the research model and hypotheses.

The results reveal that SNS RQ and SNS identification are key factors affecting CCB, whereas financial bond (firm-focused) and consumer-company identification (customer-focused) are critical initiators. The findings reveal contingencies across service attributes for such effects. Experienced service firms can better encourage CCB by intimating SNS relationships with followers. Search firms should secure online identification to enable customers to perform CCB. The results also confirm the mediating effects of SNS RQ and SNS identification.

This study contributes to the literature by simultaneously examining the firm (external)- and individual (internal)-level of incentives, and to further reveal the main drivers encouraging CCB on corporate SNS. This study also belongs to the limited studies that discuss consumer voluntary behaviors on the corporate SNS. The results shed light on the existence of a contingency role for service attribute on SNS, and further suggest how firms with distinct attributes can effectively allocate their limited resources when encouraging CCB on SNS.

This research investigates how to optimize storage location assignment to decrease the order picking time and the waiting time of orders in the staging area of low-temperature logistics centers, with the goal of reducing food loss caused by temperature abuse.

The authors applied ABC clustering to the products in a simulated database of historical orders modeled after the actual order pattern of a large cold logistics company; then, the authors mined the association rules and calculated the sales volume correlation indices of the ordered products. Finally, the authors generated three different simulated order databases to compare order picking time and waiting time of orders in the staging area under eight different storage location assignment strategies.

All the eight proposed storage location assignment strategies significantly improve the order picking time (by up to 8%) and the waiting time of orders in the staging area (by up to 22%) compared with random placement.

The results of this research are based on a case study and simulated data, which implies that, if the best performing strategies are applied to different environments, the extent of the improvements may vary. Additionally, the authors only considered specific settings in terms of order picker routing, zoning and batching: other settings may lead to different results.

A storage location assignment strategy that adopts dispersion and takes into consideration ABC clustering and shipping frequency provides the best performance in minimizing order picker's travel distance, order picking time, and waiting time of orders in the staging area. Other strategies may be a better fit if the company's objectives differ.

Previous research on optimal storage location assignment rarely considered item association rules based on sales volume correlation. This study combines such rules with several storage planning strategies, ABC clustering, and two warehouse layouts; then, it evaluates their performance compared to the random placement, to find which one minimizes the order picking time and the order waiting time in the staging area, with a 30-min time limit to preserve the integrity of the cold chain. Order picking under these conditions was rarely studied before, because they may be irrelevant when dealing with temperature-insensitive items but become critical in cold warehouses to prevent temperature abuse.

Content analysis is a methodology that has been used in many academic disciplines as a means to extract quantitative measures from textual information. The purpose of this paper is to document the use of content analysis in the supply chain literature. The authors also discuss opportunities for future research.

The authors conduct a literature review of 13 leading supply chain journals to assess the state of the content analysis-based literature and identify opportunities for future research. Additionally, the authors provide a general schema for and illustration of the use of content analysis.

The findings suggest that content analysis for quantitative studies and hypothesis testing purposes has rarely been used in the supply chain discipline. The research also suggests that in order to fully realize the potential of content analysis, future content analysis research should conduct more hypothesis testing, employ diverse data sets, utilize state-of-the-art content analysis software programs, and leverage multi-method research designs.

The current research synthesizes the use of content analysis methods in the supply chain domain and promotes the need to capitalize on the advantages offered by this research methodology. The paper also presents several topics for future research that can benefit from the content analysis method.

This study aims to identify different antecedents and reveal divergent moderating effects of horizontal collectivism, thereby unlocking the asymmetric mechanisms for employees’ brand citizenship behavior (BCB) and negative word-of-mouth (NWOM).

This study uses a survey data set and analyzes it with structural equation modeling along with common latent factor analysis designed to control for common method variance.

BCB is associated with pride at work but not perceived organizational support (POS), so POS drives BCB not directly but indirectly through the emotion of pride at work. In contrast, employees’ NWOM is associated with both POS and frustration, and POS drives NWOM directly and indirectly through the emotion of frustration. Horizontal collectivism has divergent moderating effects that strengthen the relationships of BCB with POS and pride at work and weaken the relationship between employees’ NWOM and frustration.

This study makes two major theoretical contributions to internal branding. First, as a response to the need for an investigation into drivers of employees’ brand-oriented behaviors, it will identify different psychological antecedents and mechanisms for BCB and employees’ NWOM. Second, capturing the potential of horizontal collectivism on employees’ brand-oriented behaviors, this study will reveal the potential divergent moderating effects of horizontal collectivism on BCB and employees’ NWOM. These two contributions will lead to a better understanding of the different mechanisms for employees’ BCB and NWOM.

With the emergence of a variety of communication channels on social media, employees have more opportunities to engage with external stakeholders for or against their organizational brand. In such a context, focusing on negative word-of-mouth (NWOM) as an employee’s negative discretionary brand-oriented behavior, the current study aimed to identify negative emotions that can serve as drivers for NWOM more strongly than for counterproductive workplace behavior (CWB), relying on the discrete emotion perspective. This study also aimed to examine whether employees’ perceived brand knowledge can directly diminish employees’ NWOM and CWB and attenuate the influence of negative emotions.

A questionnaire was used to gather relevant data, which were analyzed by structural equation modeling.

The findings showed that anger was more strongly associated with employees’ NWOM than withdrawal and that envy was more strongly associated with CWB toward individuals than employees’ NWOM. Employees’ perceived brand knowledge was negatively associated with both NWOM and CWB directly and mitigated the association of negative emotions such as anger and envy with CWB, but not with NWOM.

Based on the discrete emotion perspective, the current study explored the relative magnitude of emotional antecedents for employees’ NWOM and conventional CWB. Also, it expanded the previous findings on the positive effects of perceived brand knowledge on the positive outcomes of employees’ actions and its mitigating effects on NWOM and CWB.