Search results

This paper aims to address how perceived social media agility can promulgate co-creation processes, such as co-production and value-in-use, and how it impacts brand-related outcomes. This study also addresses calls for marketing scholars to investigate the types of personality traits that affect these potential relationships by accounting for the impact of technology reflectiveness.

This paper conducted an online survey with 321 adult subjects. The direct, indirect and conditional (moderation) effects were assessed using multivariate regression, various PROCESS models and the Johnson–Neyman technique (to probe the interaction terms). Additional supplemental analyses were conducted via PROCESS models.

The results show that perceived social media agility directly and indirectly (through co-production and value-in-use) positively influences brand attachment and that the order of these two processes matters (co-production followed by value-in-use). Results also show that the positive impact of perceived social media agility on co-production and value-in-use deviates for customers high in technology reflectiveness but can be manipulated according to which process comes first.

This paper expounds on the new construct of perceived social media agility by uniquely linking perceived social media agility to two distinct value co-creation processes (co-production and value-in-use) and brand-related outcomes while highlighting how consumer-specific traits can affect this relationship in a social media setting.

The proliferation of ride-hailing businesses brings significant considerations for improving the driver's operational performance. Informed by the literature on sharing economy, general deterrence theory and protection motivation theory this research investigates the behavioral factors impacting ride-hailing drivers' operational performance.

The authors empirically test the antecedents impacting a ride-hailing driver's operational performance using an online survey dataset comprising 513 ride-hailing drivers working for Uber and Lyft in the United States.

Ride-hailing drivers' intention to comply with the ride-hailing company guidelines results in better operational performance for the driver. Moreover, drivers believe that ride-hailing companies have effective penalties to deter drivers from violating company guidelines. However, drivers also believe that the chances of being caught while ignoring the company guidelines are low.

The results of this research support the decision-making processes of ride-hailing company managers and offer insights on how managers can enhance the operational performance of their drivers.

This study provides unique contributions to emerging research at the intersection of peer-to-peer asset sharing, behavioral studies and technology management. This research is one of the first to explore the role of behavioral factors such as coping mechanisms on the operational performance of sharing economy workers.

This study aims to contribute to the social media agility literature by examining the impact of perceived social media agility on customer purchases. More specifically, this study seeks to reveal whether perceived social media agility positively affects customer purchases. Furthermore, this study examines the moderating roles of social media self-efficacy and social anxiety to increase the model's explanatory power. That is, this study investigates whether social media self-efficacy positively moderates the impact of perceived social media agility on customer purchases. Similarly, this study examines whether social anxiety negatively moderates the impact of perceived social media agility on customer purchases.

An online survey was conducted on Qualtrics platforms to test the research hypotheses. To test the main effect, a linear regression was used. To test moderating relationships, PROCESS Macro Model 1 was used. Finally, the moderating effects were probed with the Johnson–Neyman technique to gain further insights into the interaction effects.

The study results show that when customers perceive a brand as agile on social media platforms, they are more willing to buy the goods/services of the brand. Notably, individuals who are high on social media self-efficacy (relative to low on it) display more willingness to purchase the brand's products/services. However, customers who are high on social anxiety (relative to low on it) are less willing to purchase the brand's products/services.

This study examines the effect of perceived social media agility on customer purchases while accounting for the moderating role of perceived social media self-efficacy and social anxiety. The results provide noteworthy theoretical and managerial contributions.

Drawing on the social identity theory, this paper explores the impact of rider–driver ethnicity match on the driver’s expected ride satisfaction and willingness to perform, and rider’s trust on the driver.

The study relies on scenario-based online experiments with 291 ride-hailing drivers and 282 riders in the USA.

The findings indicate that ethnicity match between ride-hailing drivers and riders positively impact driver’s ride satisfaction and willingness to perform, and rider’s trust in the driver. The study also revealed a significant positive moderation effect of ethnic identity on the relationship of ethnicity match and those constructs.

While it may be challenging to influence an individual’s level of ethnic identity, managers can take steps to educate and train their employees regarding the impact of ethnic identity and discrimination, with a particular focus on those individuals who possess a strong sense of ethnic identity.

The findings of this research provide theoretical contributions to the existing literature on ride-hailing services and adds to the limited stream of logistics research that examines the impact of ethnicity on ride-hailing operations.

This article explores how firms' unresponsiveness to Black customer feedback influences Black (vs. White) customers' perceived firm-based discrimination and brand engagement.

Two experimental studies (Study 1(N1) = 254) and Study 1(N2) = 484) are conducted to test the modeled relationships. The data are analyzed using ANOVA, PROCESS Model 4 and PROCESS Model 7.

The findings suggest that though perceived discrimination remains modest in all conditions, Black (vs. White) respondents report higher perceived discrimination when the firm fails to respond to a Black customer's negative or neutral (but not positive) brand-related feedback on social media. The results also indicate that Black (vs. White) customers exhibit lower engagement through perceived discrimination in the case of the firm's unresponsiveness to a Black customer's negative and neutral (but not positive) brand-related feedback regardless of the manager's race.

Prior research on intercultural service encounters and ethnic differences in consumer engagement on social media are combined to examine the relationship between customer race and perceived discrimination based on the firm's unresponsiveness to customers' social media posts.

Manipulations were created based on a fictitious e-tailer. Thus, it is recommend that future researchers examine the extent to which the findings hold for existing (r)etailers. In addition, future studies using secondary data could provide additional evidence for the findings.

Managerial attention is accentuated among customer feedback responsiveness, engagement and perceived firm discrimination. Managers are encouraged to adopt communication strategies that complement the firm's strategy and social media presence.

The authors explored the impact of a popular supply chain collaboration initiative – the shopper solution – on both retailers and manufacturers, as well as on the shopper.

The authors conducted a quasi-experimental field study, an experimental online study and an experimental behavioral lab study.

Overall, results revealed that shopper solutions increase the quantity and breadth of displayed products sold, along with sales totals. Shoppers also expressed higher willingness-to-pay (WTP) for products displayed in solutions. Shoppers positively (negatively) attributed the presence (absence) of solutions more strongly to retailers than to manufacturers due to perceived differences in manufacturers' concern for shoppers. Specifically, shoppers expressed higher (lower) word-of-mouth (WOM) and loyalty intentions toward retailers than manufacturers when solutions were (not) provided.

The authors provide a more holistic view of supply chain collaboration by showing how different chain members (retailers vs manufacturers) can experience disparate benefits from collaboration. The authors explain this within the context of shopper solutions by demonstrating that differences in perceived concern for shoppers underlies these effects. Thus, findings suggest that shopper marketing initiatives, such as solutions, are not always “win-win-win” outcomes for retailers, manufacturers and shoppers as intended. Overall, this is the first research to assess the implications of shopper solutions for retailers, manufacturers and shoppers, alike.

Collaborative Logistics (CL) and merging operations are crucial strategies for reducing costs and improving service in transportation companies. This study proposes a model for optimizing efficiency in supply chain networks through inbound and outbound Collaborative Logistics implementation among the carriers in centralized, coordinated networks with cross-docking.

A mixed-integer non-linear programming model is developed to determine the optimal truck-goods assignment while gaining economies of scale through mixing multiple less-than-truckload (LTL) products with different weight-to-volume ratios. Unlike the previous studies that have considered Collaborative Logistics from the cost and profit-sharing perspective, the proposed model seeks to determine an appropriate form of Collaborative Logistics in the VRP.

This article shows that in a three-echelon supply chain consisting of a set of suppliers, a set of customers and a cross-docking terminal, partial collaboration among the inbound carriers and outbound carriers outperforms no/complete collaboration. This approach enhances the supply chain efficiency by minimizing the total transportation costs, the total transportation miles and the total number of trucks and maximizing fleet utilization. While addressing the four points, the role of collaborative logistics among the carriers was discussed. In a three-echelon SC consisting of a set of suppliers, a set of customers and a cross-docking terminal, partial collaboration among the inbound carriers and outbound carriers outperforms no/complete collaboration. Using a combination of experimental analysis and optimization process, it was recommended that managers be cautious that too much (full or complete) or no collaboration can result in SC performance deterioration.

The suggested approach enhances the supply chain efficiency by minimizing the total transportation costs, the total transportation miles and the total number of trucks and maximizing fleet utilization. While addressing the four points, the role of Collaborative Logistics among the carriers was discussed.

The purpose of this study is to determine the factors that impact the trust of microenterprises in online selling platforms and cargo carriers and examine the consequences of a lack of trust.

This study adopts a qualitative exploratory approach and uses grounded theory to generate insights based on interviews with 27 microenterprise owners selling internationally on an online selling platform.

The results show that a lack of competence, an absence of an integrated claim system and a lack of transparency are the main factors affecting sellers’ trust in online selling platforms. The relationship between the sellers’ intention to continue to use the online selling platform and their trust in the platform was found to be moderated by switching costs.

This study is limited in that the results were mainly based on the sellers’ perspectives although the phenomenon of interest involves various actors. To mitigate this limitation and cross-check the data, the customer reviews and some of the sellers’ account statistics were also analyzed.

This study introduces the sellers’ perspectives on the dynamics of supply chain management in international micro trade. These dynamics provide a guideline for how to build and manage an online selling platform targeting microenterprises.

Unlike previous studies, this study examines online transaction behaviors from the standpoint of sellers, not buyers. Moreover, it is the first study examining the damaged or lost shipments within the context of online transactions in international micro trade.

Supply chain has long faced a persistent workforce shortage. To help both organizations and the field create environments that are more conducive to employee retention, the authors investigate the outcomes of supply chain employee trust in their supervisor.

Applying person-environment fit theory, the authors evaluate the well-established antecedents to trust in supervisor ability, benevolence and integrity (ABI) relative to person-job (P-J) fit and person-vocation (P-V) fit of US supply chain employees.

Confirmatory factor analysis indicates that ABI is best modeled as dimensions of a second-order formative trust construct rather than as its antecedents. However, PLS-SEM provides somewhat unconvincing support for the impacts of ABI-trust. Instead, qualitative comparative analysis (QCA) delineates that all three ABI dimensions are not always needed for P-J and P-V fit in supply chain. Some employees respond to affective-based (i.e. benevolence) trust and others to cognitive-based (i.e. ability and integrity) trust.

The QCA results offer specific recommendations for supply chain organizations to enhance employee trust in supervisors to succeed in the struggle for labor.

The results counter extant trust theory, encouraging scholars to consider ABI as distinct dimensions of trust. The study also demonstrates the importance of considering QCA in supply chain research to meaningfully expand contributions to theory and practice.

This study aims to examine how implicit distance (cognitive and social) impacts supply chain capabilities, and the roles of information technology (IT) utilization and supply chain flexibility in this process.

The authors designed a conceptual model including the implicit distance, supply chain flexibility, supply chain capability and IT utilization and verified the relationships among variables through a survey that collected data from 104 manufacturing enterprises in China.

The results show that cognitive and social distances positively and negatively affect supply chain flexibility, respectively. Furthermore, IT utilization strengthens the positive effect of cognitive distance and the negative effect of social distance on supply chain flexibility. Additionally, supply chain flexibility has a positive effect on supply chain capability and mediates the effects of cognitive and social distances on supply chain capability.

Enterprises should prioritize cooperation with different types of partners with whom the enterprises have established good collaborative working experiences. Moreover, if enterprises cooperate with new partners, enterprises should communicate and handle things face to face instead of frequently utilizing IT.

This study links the implicit distance between enterprises with supply chain capability and newly applies social network theory to explain the mechanism. Further, the authors' data confirm the moderating role of IT utilization in this process, supplementing the research on implicit distance. Moreover, this study employs dynamic capability theory to better understand how firms can improve supply chain capabilities.