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With the development of digitalization and interconnection, there is a growing need for enterprise customers to ensure the compatibility of the third-party components they are using in the manufacturing process, thus raising the integration requirements for the Industrial Internet platform and its third-party developers. Therefore, our study investigates the optimal integration decision of the Industrial Internet platform while considering its access price, the integration cost, and the net utility derived by enterprise customers from the third-party components.

We model a two-sided Industrial Internet platform that connects customers on the demand side to the developers on the supply side. We then explore the integration decision of the Industrial Internet platform and its important factors by solving the optimal profit function.

First, despite the high integration cost of third-party developers, the platform still chooses to integrate when enterprise customers derive high utility from the third-party components. Second, due to the compatibility effect, charging the enterprise customers a higher price may reduce the platform profits when these customers derive low utility from the third-party components. Third, the platform profits will increase along with the integration cost of third-party developers when it is low in the case where enterprise customers derive low utility from third-party components.

Our findings offer insightful takeaways for the Industrial Internet platform when making integration decisions.

Warehousing remains the most frequently outsourced logistics activity, but empirical research on the third‐party selection process for warehousing remains scarce. The main goals of this research were to identify the most critical factors to customers during third‐party warehousing selection and to compare the perceived performance levels of national and regional third‐party firms on each of the selection criteria. Surveys were sent to warehousing customers in several industries. Responsiveness to service needs, quality of management, and track record of ethical importance were rated by customers as the most important selection criteria. Results indicate that respondents also rated the performance of the typical regional third‐party warehousing firm as significantly better than national firms on six different criteria while national firms were rated significantly higher on only one criterion. It is hoped that this research can provide guidance to logistics managers as they evaluate third‐party warehousing options.

Service failures usually occur in front of third-party customers. Third-party customers react emotionally and behaviorally to service failure and recovery efforts aimed at focal customers. However, there is a gap in the literature on how third-party customers react to a service failures incident and a recovery over another customer, depending on how socially close or distant they are from. This study investigates the effect of third-party customers' emotions on consumer forgiveness, negative word-of-mouth (WoM) and repatronage intentions in the service recovery process by comparing close and distant third-party customers.

This study utilizes a 2 (social distance to the focal customer: close, distant) × 2 (service recovery: yes, no) between-subjects design. The authors used a scenario-based experiment to test the proposed hypotheses. A total of 576 respondents were involved in the study.

The results from the authors' scenario-based experimental study show that positive and negative emotions felt by distant third-party customers are higher than those of close third-party customers. In addition, the effect of positive emotions on customer forgiveness is more substantial for distant third-party customers. Third, moderated-mediation analysis indicates that social distance has a moderator effect only on the relationship between positive emotions and customer forgiveness.

This study contributes to the service literature by comparing socially close and socially distant third-party customers' reactions to service failure and recovery attempts.

With the rapid development of the sharing economy in manufacturing industries, manufacturers and the equipment suppliers frequently share capacity through the third-party platform. This paper aims to study influences of manufacturers sharing capacity on the supplier and to analyze whether the supplier shares capacity as well as its influences.

This paper deals with conditions that the supplier and manufacturers share capacity through the third-party platform, and the third-party platform competes with the supplier in equipment sales. Considering the heterogeneity of the manufacturer's earning of unit capacity usage and the production efficiency of manufacturer's usage strategies, this paper constructs capacity sharing game models. Then, model equilibrium results under different sharing scenarios are compared.

The results show that when the production or maintenance cost is high, manufacturers sharing capacity simultaneously benefits the supplier, the third-party platform and manufacturers with high earnings of unit capacity usage. When both the rental efficiency and the production cost are low, or both the rental efficiency and the production cost are high, the supplier simultaneously sells equipment and shares capacity. The supplier only sells equipment in other cases. When both the rental efficiency and the production cost are low, the supplier’s sharing capacity realizes the win-win-win situation for the supplier, the third-party platform and manufacturers with moderate earnings of unit capacity usage.

This paper innovatively examines supplier's selling and sharing decisions considering manufacturers sharing capacity. It extends the research on capacity sharing and is important to supplier's operational decisions.

In this article, we focus on alternative dispute resolution procedures, in particular third party procedures. We describe eight different procedures and provide examples of how these procedures are used in different cultural contexts. We then evaluate the procedures in terms of how they impact four key criteria that have been noted in the literature related to negotiation: process criteria, settlement criteria, issue-related criteria, and relationship criteria. We subsequently explore the potential impact of culture on evaluations of these criteria. We finish with a discussion of future directions for research and practice, emphasizing that procedural recommendations should be made carefully when the criteria for effectiveness and applicability are derived from US-centric research. In other words, there is not “one best choice” for third party procedures universal to the myriad cultures on our planet.

Massive shifts in the recruitment landscape, the continually changing nature of work and workers, and extraordinary technological progress have combined to enable unparalleled advances in how current and prospective employees receive and process information about organizations. Once the domain of internal organizational public relations and human resources (HR) teams, most employment branding has moved beyond organizations’ control. This chapter provides a conceptual framework pertaining to third party employment branding, defined as communications, claims, or status-based classifications generated by parties outside of direct company control that shape, enhance, and differentiate organizations’ images as favorable or unfavorable employers. Specifically, the authors first theorize about the underlying mechanisms by which third party employment branding might signal prospective and current employees. Second, the authors develop a framework whereby we comprehensively review third party employment branding sources, thus identifying the different ways that third party employment branding might manifest. Third, using prototypical examples, the authors link the various signaling mechanisms to the various third party employment branding sources identified. Finally, the authors propose an ambitious future research agenda that considers not only the positive aspects of third party employment branding but also potential “dark sides.” Thus, the authors view this chapter as contributing to the broader employment branding literature, which should enhance scholarly endeavors to study it and practitioner efforts to leverage it.

Recycling and reuse of the electric vehicle (EV) batteries are ways to extend their limited lives. If batteries can be traced from production to recycling, it is beneficial for battery recycling and reuse. Using blockchain technology to build a smart EV battery reverse supply chain can solve the difficulties of lack of trust and data. The purpose of this study is to discuss the behavioural evolution of a smart EV battery reverse supply chain under government supervision.

This study adopts evolutionary game theory to examine the decision-making behaviours of the government, EV manufacturers with recycled used batteries and third-party EV battery recyclers lacking professional recycling qualification.

On the smart reverse supply chain integrated by blockchain technology, a cooperative recycling strategy of the third-party EV battery recycler is the optimal choice when the government tends to actively regulate. The probability of the EV manufacturer choosing the blockchain adoption strategy exceeds (below) the threshold, and the government prefers negative (positive) supervision. According to numerical analysis, in the mature stage in the EV battery recycling industry, when the investment cost of applying blockchain is high, EV manufacturers' willingness to apply blockchain slows down, the government accelerates adopting a negative supervision strategy and third-party EV battery recyclers prefer cooperative recycling.

The results of this study provide opinions on the strength of government supervision and the conditions under which EV manufacturers and third-party EV battery recyclers should apply blockchain and cooperate. On the other hand, this study provides theoretical analysis for promoting the application of blockchain technology in smart reverse supply chain.

Compared with previous research, this study reveals the relevance of government supervision, blockchain application and cooperation strategy in smart EV battery reverse supply chain. In the initial stage, even if the subsidy (subsidy reduction rate) and penalty are high and the penalty reduction rate is low, the EV manufacturer should rather give up the application of blockchain technology. In the middle stage in the EV battery recycling industry, the government can set a lower subsidy (subsidy reduction rate) combined with a penalty or a higher penalty (penalty reduction rate) combined with a subsidy to supervise it. The third-party EV battery recycler is advised to cooperate with the EV manufacturer when the subsidy is low or the penalty is high.

Given the importance of third-party endorsements as external cues during purchase evaluations, the manipulation of endorsements may raise consumers’ suspicion and thereby reduce the effectiveness of marketing messages. Consumers find it increasingly difficult to distinguish between authentic and biased brand reviews. This research conducts two experiments regarding brand rankings of third-parties in four industries. Study 1 aims to probes the interaction effect of persuasion knowledge and fairness of rating method (fair vs. unfair) on brand rankings’ credibility and brand image enhancement. Study 2 examines the interplay of dispositional persuasion knowledge and reputation of third parties (high vs. low).

This research builds on an analysis of data (Study 1, N = 122; Study 2, N = 123) from Taiwan, where brand rankings held by third-party organizations are regular. The hypotheses were tested using SPSS’s PROCESS macro.

Drawing on previous research of persuasion knowledge, the authors find that a fair rating method and a high reputation of third-party organization can mitigate the negative effect of persuasion knowledge.

The results of this research suggest that marketers need to manage third-party endorsements carefully. Consumer skepticism toward these endorsements (e.g. third-party’s brand rankings) can be weakened when persuasion attempt is considered appropriate.

This is one of the first efforts to empirically explore the influences of persuasion knowledge on third-party endorsements. The importance of this work is underscored by the fact that a growing number of third-party endorsements are sponsored or even manipulated by brand owners.

Industry practice has shown that technology licensing has an important effect on the R&D cooperation between firms. Different licensing methods will significantly impact a supply chain member's cooperative and price R&D decisions. However, there is scant literature investigating the decision on technology licensing and its impact on a supply chain member's price and cooperative R&D decisions. To address this gap, the authors investigate the R&D cooperation and the technology licensing in a supply chain formed of an original equipment manufacturer (OEM), a contract manufacturer (CM), and a third-party manufacturer which will compete with the OEM when the technology licensing occurs.

The authors investigate two licensing patterns, royalty licensing, fixed fee licensing together with the no licensing, within the R&D cooperative supply chain by developing two three-stage and a two-stage Stackelberg models.

Compare to the no licensing strategy, technology licensing always benefits to the OEM and the society especially when the technology efficiency and the brand power of the third-party manufacturer are more significant; the royalty licensing benefits to the OEM more when the technology efficiency and the brand power of the third-party manufacturer are higher; the fixed fee licensing benefits to the OEM more when the technology efficiency and the brand power of the third-party manufacturer are lower.

The royalty licensing is more effective for mitigating price competition intensity and helping firms to maintain higher sales margins; the fixed fee licensing induces firms' lower sales margins but increases the firms' sales quantities; in most cases, the fixed fee licensing is optimal from the perspectives of consumer and society, however, the CM's investment intention to the R&D technology with the fixed fee licensing is lower.

So far, different licensing models under the R&D cooperation have not been investigated, and the authors propose two three-stage Stackelberg models with considering the competition caused by technology licensing under the R&D cooperation to deal with the cooperative R&D and technology licensing issues.

Proposes that previous discussions of strategic decision making in the strategic management literature have not effectively addressed the role of third parties including consultants. Offers three roles of third parties, including the consultant as provocateur, legitimizer and expert. Propositions are developed suggesting a contingency approach to the timing and role of third parties in the strategic decision‐making process.