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Under the digital wave and the new industrial competition pattern, the automobile industry is facing multiple challenges such as the redefinition of new technologies and supply chain changes. The purpose of this study is to link big data analytics and artificial intelligence (BDA-AI) with digital supply chain transformation (DSCT) by taking Chinese automobile industry firms as a sample and to consider the role of supply chain internal integration (SCII), supply chain external integration (SCEI) and supply chain agility (SCA) between them.

Data were collected from 192 Chinese firms in the automotive industry and analyzed using partial least squares structural equation modeling (PLS-SEM). Importance-performance map analysis is used to extend the standard results reporting of path coefficient estimates in PLS-SEM.

The results indicate that BDA-AI, SCII, SCEI and SCA positively influence DSCT. In addition, this study found that SCII, SCEI and SCA play an intermediary role in BDA-AI and DSCT.

The paper enriches the research on the mechanism of digital resources affecting DSCT and expands the research of organizational information processing theory in the context of digital transformation. The paper explores how the resources deployed by firms change the strategic measures of firms from the perspective of responsiveness. By exploring the positive impact of SCA as a response capability on the DSCT strategy and its intermediary role between digital resources and DSCT, which is helpful to the further theoretical development of logistics and supply chain disciplines.

The global business environment combined with increasing societal expectations of sustainable business practices challenges firms with a host of emerging risk factors. As such, firms seek to increase supply chain transparency, enabling them to monitor operational activities and manage supply chain risks. Drawing on organizational information processing theory, the purpose of this paper is to examine how supply chain analytics (SCA) capabilities support operational supply chain transparency.

Using data from 477 survey participants, hypotheses are tested using seemingly unrelated regression.

The results reveal that: analytics capability in support of planning functions indirectly affects organizational supply chain transparency (OSCT) via SCA capabilities in source, make, and deliver functions; SCA capabilities in source, make, and deliver positively influence OSCT; and supply uncertainty moderates the relationship between SCA capabilities in make and OSCT.

This research suffers from limitations inherent in all survey-based research. Nonetheless, the authors found convincing evidence that suggests firms can employ SCA capabilities to meet transparency requirements.

The findings inform design of SCA systems, noting the importance of linking planning tools with tools that support source, make, and deliver functions. The research also shows how transparency can be increased via employing SCA capabilities.

This is one of first studies to empirically demonstrate that SCA capabilities can be used to increase supply chain transparency. The research also advances organizational information processing theory by illustrating an analytics capability paradox, where increased levels of certain analytics capabilities can become counterproductive in the face of supplier uncertainty.

The aim of this conceptual study is to analyze the effects of state-of-the-art research streams on supply chain risk management (SCRM) based on organizational theoretical background and direct future research toward the use of other related organizational theories. This paper seeks to provide a framework for understanding various organizational theories that can impact the understanding of SCRM.

A systematic literature review on articles published from 1998 to 2020 was conducted manually in the following databases: Emerald, Science Direct, Taylor & Francis Online, and Wiley online library. Among these articles, the paper by Smeltzer and Siferd (1998) is the first article published on the topic. Therefore, that serves as a starting point for the papers' analysis. A total of 109 articles have been selected and reviewed in detail.

The results of the study indicate that the articles which utilize theories in SCRM research have been mostly published in the last three years. The quantitative and case studies have been prevalently applied methods in the articles. In total, 34 theories are listed from the investigated articles. The four commonly studied theories among these are the information processing theory, transaction cost theory, contingency theory, and resource-based view.

This paper is the pioneer in the sense that the paper specifically and directly reviews the SCRM literature in terms of organizational theory usage. For future research, this study offers a diffusion of innovation (DOI) theory that explains the factors which can affect the adoption or diffusion of SCRM practices.

The purpose of this paper is to explore a manufacturer's strategy to coordinate efforts of multiple suppliers' involvement in the product development process. The paper also proposes critical factors in determining the appropriate coordination strategy.

Based on the synthesis of the literature and relevant theories, a typology of coordination strategies is developed. Propositions are developed pertaining to the performance implications of the coordination strategies and the key determinants of the effectiveness of the coordination strategies.

Four ideal types of coordination strategies are: centralized‐programming, centralized‐feedback, decentralized‐programming, and decentralized‐feedback. Prior research and recently reported industry examples indicate that a manufacturer's coordination with multiple suppliers varies in terms of the information‐processing structure and the locus of control. The effectiveness of a manufacturer's coordination strategies is influenced by the extent of component modularity, product complexity, technology uncertainty, and the technical capability of suppliers.

The four coordination strategies involve trade‐offs on certain performance dimensions. Decentralized‐programming promotes process efficiency, while centralized‐feedback facilitates problem solving. Centralized‐programming favors integrative product design, while decentralized‐feedback favors innovation from supplier's technical expertise.

While research on supplier involvement in product development has primarily focused on a single supplier's integration in the process, this paper extends understanding of multi‐organizational coordination by applying information‐processing decision‐making theories to the product development context.

This paper aims to examine the link between information systems (IS) agility, HR performance management systems and job satisfaction using organizational information processing theory. The objective of this study answers the following questions: How does use of different IS agility impact HR systems and job satisfaction? What are the connecting pathways by which IS agility affects HR systems and job satisfaction?

The authors developed a theoretical framework based on the organizational information processing theory and collected primary data through an online-based questionnaire. Following these procedures, the authors analyzed the data using structural equation modeling (SEM).

SEM analysis of the data from 150 respondents supports the organizational information processing theory. The authors proposed eight hypotheses, and only one was rejected.

The data were collected from South Africa only, which is an emerging economy, and these cross-sectional data were gathered from the perspectives of the respondents.

The present paper empirically tests the conceptual model through the lens of organizational information processing theory.

Behavioral research is an accepted research paradigm in business disciplines outside of finance including management, marketing and accounting. This paper looks at these disciplines and proposes goals for increasing acceptance of this form of research in real estate. Primary goals include investigation of actual heuristic use, concentration on expert decision makers, either as a group or in comparison to novices, incorporation of additional theory advocating functional heuristics, incorporation of real estate specific theory and identifying both theoretically and empirically when, why and how heuristic use may bias the decision process.

This study is based on the heuristic-systematic model (HSM) to dynamically examine the effect of review variance on sales and the boundary conditions that mitigate this effect.

Based on the theoretical domain of HSM, a conceptual model is proposed that analyzes the nonlinear relationship between review variance and sales and the interaction and motivation factors that moderate these relationships. Review data from websites targeting the film industry in the USA and South Korea (Korea) were collected to empirically analyze the authors' hypothesis, and panel regression analysis was used for confirmation.

Moderated by interactive and motivational factors, review variance exhibits an inverse-U-shaped relationship with review variance. Specifically, as an interaction factor, review valence and owned social media (OSM) resulted in positive interaction effects, and as a motivation factor, the number of alternatives exhibited a positive interaction effect with review variance. The effect of review variance was less pronounced in the USA than in Korea.

The study outcomes reveal a nonlinear relationship between review variance and sales, thus supporting the contradictory findings of previous studies. This study contributes to the literature by using the HSM as a theoretical framework to verify various HSM mechanisms using online review data. This exploratory study also contributes to the international marketing literature by showing that the effects of review variance vary across cultures.

Although a large contingency of theory and research has been conducted in the area of individual and interpersonal communication, relatively few theoreticians have focused on the broader character of communication at the organizational level of analysis. With the increasing emphases on total quality, leadership, adaptive cultures, process reengineering, and other organizational change and development efforts, however, the need to understand the process and function of organizational communication at a broader, more systemic level is paramount. The following paper attempts to address this issue by providing: (1) a comparative review and critique of three “classic” theoretical approaches to describing the importance of communication in organizations and the relationship between communication and organizational functioning (open systems theory, the information‐processing perspective, and the communication as culture framework); and (2) a new integrative framework—the CPR model of organizational communication—for conceptualizing and understanding the nature of communication in organizations based on constructs adapted from these three perspectives. The model is then used both in an applied example to help diagnose an organizational system and to stimulate suggestions for future research.

This paper empirically examines the process of acquiring technology from a source, external to the firm, and incorporating it into a new product or operational process under development. We refer to this key activity in product and process innovation as external technology integration. This paper develops a conceptual model of external technology integration based on organizational information processing theory and a wide range of technology management literature. Field interviews were conducted to evaluate the validity of the model across diverse settings. Our results indicate general support for the conceptual model. We close with a discussion of the implications of this study for both theory and practice.

The paper aims to clarify the influence of different picture contents on consumer's willingness to click pictures when shopping for agricultural products online and examine the intermediary mechanism and boundary conditions of the impact.

The paper opted for an empirical study based on the cue utilization theory and information processing theory, including three experiments to test the existence, intermediary mechanism and boundary conditions of the impact of online picture contents of agricultural products on consumers' clicking intention.

The paper provides empirical insights about the influence of picture contents on consumer's willingness to click when shopping for agricultural products online. The picture of product's production environment or grower on the search result page can effectively improve consumer's willingness to click the product under dual systemic information processing modes. Compared with product pictures, pictures displaying products and production environment can stimulate more cognitive system processing, and pictures displaying products and its growers can stimulate more emotional system processing, both resulting in higher click intention. However, the above effects only exist in the context of non-branded agricultural products.

The research results not only provide practical guidance for merchants, but also fill the gap in the research on the impact of picture contents on consumers in the field of agricultural products in online marketing.