Adoption of electronic supply chain management systems: the mediation role of information sharing

Purpose: Based on structural embeddedness theory and resource dependence theory, this research aims to examine the mediation role of information sharing in the relationship between deendency structures and electronic supply chain management system (eSCM) adoption and a firm's intention to adopt eSCMs. Design/methodology/approach: A survey questionnaire was undertaken from 212 companies based in Mainland China. Three-stage least squares (3SLS) regression was employed to test the research model. Findings: The results from 3SLS regressions showed that the effect of interdependence on eSCM adoption intention is fully mediated through information sharing when relationship duration is either below or about the mean. Interdependence and dependence disadvantage was shown to have significant positive effects on eSCM adoption while the effect of dependence advantage was statistically insignificant. Relationship duration was found to negatively moderate the relationship between information sharing and adoption intention. Originality/value: Through investigating factors of inter-organizational relationships, this study fills the knowledge gap in the traditional paradigms which ignore the collaborative nature of eSCM and analyse related problems based on a single firm's point of view

The Influence of Dependence Structure And Relational Value on The Adoption Internet-enabled Supply Chain Management Systems

Based on resource dependency theory, this study investigates how the two dimensions of dependence – dependence asymmetry and mutual dependence – affect the adoption of internet-enabled supply chain management systems (eSCM). Drawing from the relational view of the firm, we argue that there are two types of relational value that can be provided by eSCM: relationship extendedness and relational depth. Dependence structure will influence firms’ incentive to obtain relationship extendedness and relational depth, which will in turn affect eSCM adoption. We collected data from mainland China using an online questionnaire and 212 valid samples were received. The emergent results show positive influence of dependence structure on relationship extendedness and relational depth. Positive effects of dependence structure and relationship relational depth on eSCM adoption are also found. However, the finding suggests a significant negative effect of relationship extendedness on eSCM, which is contradictory to the hypothesis. Future research is needed to interpret the counterintuitive finding

Leveraging Open-standard Interorganizational Information Systems for Process Adaptability and Alignment: An Empirical Analysis

PurposeThe purpose of this paper is to understand the value creation mechanisms of open-standard inter-organizational information system (OSIOS), which is a key technology to achieve Industry 4.0. Specifically, this study investigates how the internal assimilation and external diffusion of OSIOS help manufactures facilitate process adaptability and alignment in supply chain network.Design/methodology/approachA survey instrument was designed and administrated to collect data for this research. Using three-stage least squares estimation, the authors empirically tested a number of hypothesized relationships based on a sample of 308 manufacturing firms in China.FindingsThe results of the study show that OSIOS can perform as value creation mechanisms to enable process adaptability and alignment. In addition, the impact of OSIOS internal assimilation is inversely U-shaped where the positive effect on process adaptability will become negative after an extremum point is reached.Originality/valueThis study contributes to the existing literature by providing insights on how OSIOS can improve supply chain integration and thus promote the achievement of industry 4.0. By revealing a U-shaped relationship between OSIOS assimilation and process adaptability, this study fills previous research gap by advancing the understanding on the value creation mechanisms of information systems deployment

Turning Chatters into Donators: An Investigation of Topic-Based Bullet Screen Mode on a Livestreaming Platform Short Paper

Despite the importance of social interaction in virtual communities, scant research has investigated the outcomes of social interaction features. Our study aims to investigate the business value of social interaction features in the context of livestreaming platforms. Specifically, we investigate the effect of the activation of topic-based bullet screen mode – an interactive feature which allows the streamers to set a theme or topic for the viewers to send bullet screen comments about. Our results from the regression discontinuity estimation suggest that the activation of the topic-based bullet screen mode yields an immediate decrease in viewers\u27 chat interaction, which challenges the conventional wisdom social interaction features is a panacea for boosting increased user engagement. Nevertheless, we observe a compensatory effect whereby the decrease in chat interaction was accompanied by a surge in gift donations. This counterintuitive finding highlights the intricate interplay between social interaction features, user motivations, and platform affordances

More Goals, More Money? An Investigation of Stretch Goals on a Crowdfunding Platform

An increasing body of entrepreneurship research highlights the prevalence of effectuation as an effective strategy in uncertain environments, yet little is known about how investors react to entrepreneurs’ effectucation strategies. In this study, we examine how stretch goals, an effectuation strategy where entrepreneurs adaptively adopt new goals on top of the initial and predetermined goal, affect investors’ decisions. On the one hand, stretch goals may mitigate perceived uncertainty by demonstrating an entrepreneur’s continuous commitment and sharp sense-making of the changing opportunities and whereas, on the other hand, it may raise questions about the entrepreneur’s ability to reach the target, thus increasing uncertainty. An analysis of data from one of the largest crowdfunding platforms in Southeast Asia shows that stretch goal adoption has an instantaneous negative effect on fundraising performance. However, as the fundraising unfolds, entrepreneurs can mitigate, and even reverse the negative effect. Moreover, further exploration demonstrates mechanisms that can worsen or alleviate the initial negative effect. Our study highlights the countervailing effects of stretch goals and has important implications for entrepreneurs that use stretch goals as a strategy to optimize the chances of success in resource acquisition

DEVELOPMENT OF A UNIFIED OPEN E-LOGISTICS STANDARDS DIFFUSION MODEL FOR MANUFACTURING SUPPLY CHAIN INTEGRATIONS

Open E-Logistics Standards (OELS) is important to facilitate the integration of the supply chain. In OELS, the transmission and the manipulation of data are governed by open data and process standards that define their format, structure, and the semantics of data flow between trading partners. Despite the significant investments made by governments and leading firms, there remain concerns about OELS’ slow development progress and low adoption rates. The potential failure of OELS represents a significant stumbling block for governments and supply chain practitioners who have envisioned a globalized supply chain network electronically enabled by OELS. Researchers are also concerned about the inadequate models that are used to explain and understand the adoption of OELS. Although analysing adopter configurations in what is known as configuration analysis has been examined in disciplines related to science and economics, its application in the study of OELS remains sparse. This research aims to integrate multiple theoretical views, and apply configuration analysis with an improved methodological approach in order to examine OELS diffusion decisions and processes. The project will result in a new algorithm integrating structural equation modelling and neural network, and a decision support system which helps firms improve their OELS adoption decision

Stretch Goals and Crowdfunding Success: The Trade-off between Likelihood to Invest and Contribution Amount (ERF)

In order to help campaign creators collect more funds beyond their initial target, crowdfunding platforms provide mechanisms that allow them to adopt more goals, stretch goals, beyond their original target. Our study investigate how stretch goals affect potential backers’ decision-making process. Drawing on the literature on goal setting and decision under uncertainty, we propose that stretch goals are perceived differently during the funding decision process, and thus may lead to opposing effects at each stage of the process. We leverage granular data on funding decisions from a leading crowdfunding platform in Southeast Asia, and our preliminary results show that stretch goals are negatively associated with likelihood to fund while they are positively associated with contribution amount. Our study has the potential to offer a more nuanced understanding of how stretch goals affect crowdfunding performance by unpacking their influence on the funding decision-making process.

Evaluating online review helpfulness based on Elaboration Likelihood Model: the moderating role of readability

It is important to understand factors affecting the perceived online review helpfulness as it helps solve the problem of information overload in online shopping. Moreover, it is also crucial to explore the factors’ relative importance in predicting review helpfulness in order to effectively detect potential helpful reviews before they exert influences. Applying Elaboration Likelihood Model (ELM), this study first investigates the effects of central cues (review subjectivity and elaborateness) and peripheral cues (reviewer rank) on review helpfulness with readability as a moderator. Second, it also explores their relative predicting power using the machine learning technique. ELM is tested in online context and the results are compared between experience and search goods. Our results provide evidence that for both types of products review subjectivity can play a more significant role when the content readability is high. Furthermore, this study reveals that the dominant predictor is varied for different product types

Managing emergency situations with lean and advanced manufacturing technologies: an empirical study on the Rumbia typhoon disaster

Purpose – This study aims to examine the impact of lean manufacturing (LM) on the financial performance of companies affected by emergency situations. It additionally explores the role of advanced manufacturing technologies (AMTs) in complementing LM to enhance financial performance in emergency and nonemergency situations.Design/methodology/approach – Both survey and archival data were collected from 219 manufacturing companies in China. With longitudinal data collected before and after an emergency situation (i.e. Typhoon Rumbia), regression analysis was conducted to investigate the effects of LM and AMTs on financial performance in different contexts.Findings – Our results reveal an inverted U-shaped relationship between LM and financial performance in the context of emergency. We also found that AMTs exerted a positive moderation effect on the inverted U-shaped relationship, indicating high levels of AMTs that mitigated the inefficiency of LM in coping with supply chain emergencies.Research limitations/implications – Through simultaneous investigation of LM and AMTs as bundles of practices and their fit with different contexts, this study takes a systems approach to fit that advances the application of contingency theory in the Operations Management literature to more complex patterns of fit. Originality/value – This study illuminates how AMTs support LM practices in facilitating organizational performance in different contexts. Specifically, this study unravels the interaction mechanisms between AMTs and LM in influencing financial performance in emergency and non-emergency situations

Data analytics capability and servitization: the moderated mediation role of bricolage and innovation orientation

Purpose – Despite the potential influence of data analytics capability on servitization, our understanding of the underlying mechanisms of this influence remains unclear. This study explores how data analytics capability affects servitization by examining the mediation effect of bricolage and the conditional role of innovation orientation.Design/methodology/approach – This study employs the moderated mediation method to examine the proposed research model with archival data and multiplerespondent surveys from 1,206 top managers of 402 manufacturing firms in the Yangtze River Delta area in China.Findings – Bricolage partially mediates the positive relationship between data analytics capability and servitization, and innovation orientation positively moderates this effect.Practical implications – Manufacturers can leverage bricolage to materialize data analytics capability for servitization. Manufacturers should also pursue an innovation orientation to fully glean the benefits of bricolage in transforming data analytics capability into servitization.Originality/value – This study opens the black box of how data analytics capability affects servitization by revealing the underlying mechanism of bricolage and the boundary condition role of innovation orientation for this mechanism. It offers valuable insights for practitioners to leverage data analytics to improve servitization through developing bricolage and cultivating a culture of innovation orientation