Justice in triad: Revisiting supplier involvement in new product development

Recognizing the importance of involving suppliers in the new product development (NPD) process, extensive studies have examined this issue at a buyer–supplier dyadic level. However, how supplier involvement leads to better NPD performance is not clearly explained. Additionally, extending the dyadic relationships to triadic relationships and addressing how to manage the two competing suppliers with fair conduct remains unexplored. To answer these questions, this study developed a conceptual model theorizing the role of supplier involvement, information sharing, and justice in the NPD process within a buyer–supplier–supplier triadic relationship. Based on survey data collected from 200 U.S. firms, Structural Equation Modeling is used to test the hypothesis. The results first confirmed the criticality of involving both primary and secondary suppliers during NPD. Second, the positive effect of triadic supplier involvement on innovation performance is fully mediated by information sharing. Finally, this study explored the different roles of procedural justice and distributive justice; the results confirmed that procedural justice acts as a moderator for the relationship between triadic supplier involvement and information sharing, whereas distributive justice moderates the effect between information sharing and innovation performance. Our findings contribute to the literature of triadic supplier involvement-new product development and relationship management. Accordingly, these findings highlight key implications for managers and policymakers.     

住区宜居是否会提高居民社会公平感？

本文基于2010年和2021年中国综合社会调查组成的混合截面数据，运用有序概率模型，系统研究住区宜居对居民社会公平感的影响。研究表明，住区宜居能够显著提高居民社会公平感，在进行纠正选择性偏误、内生性讨论以及稳健性检验后，该研究结论依旧成立。异质性分析发现，住区宜居对居民社会公平感的正向影响会随着个体年龄的增长表现出“上升—下降—上升”趋势；住区宜居对流动人口、拥有住房产权以及农村居民的社会公平感促进作用更明显。机制检验发现，住区宜居会通过政治参与影响居民社会公平感。基于此，通过提升住区宜居水平、打造全龄宜居住区、因人因地施策、激励居民参与宜居住区管理等途径切实提高居民社会公平感。     

Can rewards induce corresponding forms of theft? Introducing the reward-theft parity effect

Rewards are reinforcement mechanisms that organizations use to shape desirable employee behaviors. However, rewards may also have unintended consequences, such as building expectations for receiving extra benefits and weakening employee barriers to unethical acts. This article investigates the dark side of the reward–behavior association, and exploring what is referred to as the reward–theft parity effect (RTPE). The authors hypothesize that receiving rewards induces a corresponding type of theft. In Study 1, survey results (n = 634) show initial support for the RTPE between rewards and same-category theft, and that perceptions of procedural justice attenuate this association. Study 2 involved a 2 (reward) × 2 (theft opportunity) between-subjects experimental design (n = 300) and provides further support for the RTPE by revealing greater theft under a reward–theft parity condition than under a reward–theft disparity condition. Study 3 replicates these findings in a field experiment (n = 285) and finds that the RTPE is exacerbated when the reward–behavior task is perceived as unjust. Collectively, these findings provide new theoretical insights while also giving managers a more complete understanding of the dark side of behavioral reinforcement mechanisms.     

地方环境立法、环境司法与企业绿色创新——基于立法与司法协同视角

企业绿色创新是人与自然和谐现代化的基础和托底，是企业实施绿色转型战略的必然路径。基于机器学习和文本分析法从经济价值导向维度和生态价值导向维度衡量企业绿色创新，并以2007年开始陆续在全国各地设置专门环境法庭为背景，将地方环境立法与环境司法纳入同一分析框架，利用2004—2020年中国A股上市公司数据，研究地方环境立法与环境司法协同对企业绿色创新的影响。研究发现，环境立法和环境司法具有促进企业绿色创新的协同作用，这一结论在进行一系列稳健性检验后仍然成立；机制检验结果表明，环境司法协同环境立法能够通过增加企业环境成本和促进企业主动进行绿色战略调整来驱动企业进行绿色创新；通过进一步分析发现，相较于经济价值导向绿色创新，企业更加倾向选择生态价值导向绿色创新，并且在国有企业、成本转嫁能力低的企业、处于经济上行期的企业、处于官员绿色政绩考核时期的企业以及管制行业企业中，协同作用更加显著。研究结果拓展了企业绿色创新的驱动因素，对政府推进环境治理、加速企业绿色转型提供了重要启示。     

A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms

With the discovery of the COVID-19 vaccine, what has always been worrying the decision-makers is related to the distribution management, the vaccination centers' location, and the inventory control of all types of vaccines. As the COVID-19 vaccine is highly demanded, planning for its fair distribution is a must. University is one of the most densely populated areas in a city, so it is critical to vaccinate university students so that the spread of this virus is curbed. As a result, in the present study, a new stochastic multi-objective, multi-period, and multi-commodity simulation-optimization model has been developed for the COVID-19 vaccine's production, distribution, location, allocation, and inventory control decisions. In this study, the proposed supply chain network includes four echelons of manufacturers, hospitals, vaccination centers, and volunteer vaccine students. Vaccine manufacturers send the vaccines to the vaccination centers and hospitals after production. The students with a history of special diseases such as heart disease, corticosteroids, blood clots, etc. are vaccinated in hospitals because of accessing more medical care, and the rest of the students are vaccinated in the vaccination centers. Then, a system dynamic structure of the prevalence of COVID -19 in universities is developed and the vaccine demand is estimated using simulation, in which the demand enters the mathematical model as a given stochastic parameter. Thus, the model pursues some goals, namely, to minimize supply chain costs, maximize student desirability for vaccination, and maximize justice in vaccine distribution. To solve the proposed model, Variable Neighborhood Search (VNS) and Whale Optimization Algorithm (WOA) algorithms are used. In terms of novelties, the most important novelties in the simulation model are considering the virtual education and exerted quarantine effect on estimating the number of the vaccines. In terms of the mathematical model, one of the remarkable contributions is paying attention to social distancing while receiving the injection and the possibility of the injection during working and non-working hours, and regarding the novelties in the solution methodology, a new heuristic method based on a meta-heuristic algorithm called Modified WOA with VNS (MVWOA) is developed. In terms of the performance metrics and the CPU time, the MOWOA is discovered with a superior performance than other given algorithms. Moreover, regarding the data, a case study related to the COVID-19 pandemic period in Tehran/Iran is provided to validate the proposed algorithm. The outcomes indicate that with the demand increase, the costs increase sharply while the vaccination desirability for students decreases with a slight slope.     

Job Embeddedness as a Moderator of the Impact of Organisational Justice on Turnover Intentions: a Study in Iran

The purpose of this study was to examine job embeddedness as a moderator of the effects of distributive, procedural and interactional justice on turnover intentions. This study also investigated the relationship between the aforementioned justice dimensions and turnover intentions. Data were gathered from a sample of full‐time frontline hotel employees with a time lag of 2 weeks in Iran. The results demonstrated that the negative effects of distributive, procedural and interactional justice on turnover intentions were stronger among frontline employees with high levels of job embeddedness. The results further revealed that these justice dimensions had negative relationships with turnover intentions. Copyright © 2012 John Wiley & Sons, Ltd.     

Using instant refunds to improve online return experiences

In the online return context, offering the consumer a satisfactory return experience is critical to an online seller's success. However, little is known about how online sellers can improve consumers' online return experience. This research examines whether an instant refund service can improve the online return experience. To obtain a comprehensive view of the outcomes of using an instant refund service, this paper also examines how the use of an instant refund affects several pivotal consumer responses. Study 1 analyzed the effects of an instant refund service on consumer responses in a post-purchase pre-return scenario, and Study 2 analyzed the effects of instant refunds on a set of key variables in a post-purchase post-return scenario, including satisfaction with the online return experience. For each study, the hypotheses of the effects of an instant refund on consumer responses were discussed, and a one-factor (instant refund service, yes vs. no) between-subject scenario experiment (with an additional related experiment in study 1) was conducted, using online panel data from Wjx.cn. One-way ANOVA was used to test the hypotheses. It is concluded that an instant refund service increases consumer satisfaction with the experience and improves other consumer responses. In terms of potential side-effects, instant refunds are not significantly associated with stronger product return intentions. These findings can help online sellers decide whether to evolve their conventional refund mode to a new instant refund mode.     

How institutional logics shape fairness in crowdsourcing: The case of Threadless

Fairness is essential for successful crowdsourcing. Without it, companies run the risk of consumers not participating, or worse, sabotaging the crowdsourcing initiative. Yet little is known about how consumers determine what is fair in crowdsourcing. Building on theories of organizational justice and institutional logics, and using a longitudinal netnography of Threadless, a popular crowdsourcing platform, this paper shows how experiences of fairness stem from the interaction between two conflicting crowdsourcing logics: the logic of renewal and the logic of community. The two logics inform notions of fairness in crowdsourcing contests across procedural, distributive, and interactional justice dimensions. A balance between the two logics is ideal for maintaining fairness among a crowdsourcing community. We show the conditions in which crowdsourcing participants tolerate transgressions to each justice dimension, consequently emphasizing one logic over the other. Overall, our study advances theory on crowdsourcing logics and how they guide notions of procedural, distributive, and interactional fairness in crowdsourcing. Our study also offers new guidance on how to manage fairness in crowdsourcing.