Industrial Management & Data Systems: Volume 121 Issue 12

Overcoming cross-organizational barriers to success in offshore projects

Likoebe Maruping, Arun Rai, Ruba Aljafari, Viswanath Venkatesh

Advances in information technology coupled with the need to build resilience against disruptions by pandemics like COVID-19 continue to emphasize offshoring services in the…

Social media influencers, product placement and network engagement: using AI image analysis to empirically test relationships

Richard N. Rutter, Stuart J. Barnes, Stuart Roper, John Nadeau, Fiona Lettice

This research tests empirically the level of consumer engagement with a product via a nonbrand-controlled platform. The authors explore how social media influencers and…

Explaining mobile game takeoff through information configuration

Zhongjun Tang, Bo He

The purpose of this paper is to explore how the number and quality of games that publishers have released, popularity of game genre, age rating and package size are configured to…

Exploring customer satisfaction in cold chain logistics using a text mining approach

Ming K. Lim, Yan Li, Xinyu Song

With the fierce competition in the cold chain logistics market, achieving and maintaining excellent customer satisfaction is the key to an enterprise's ability to stand out. This…

The effect of supplier globalization on firm innovation: a resource dependence theory perspective

Yibo Wang, Bai Liu

Either buying or making is predicted by the existing literature for firms to reduce dependence. However, firms in the rapid globalization are found to adopt a pattern of buying…

Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions

Runyue Han, Hugo K.S. Lam, Yuanzhu Zhan, Yichuan Wang, Yogesh K. Dwivedi, Kim Hua Tan

Although the value of artificial intelligence (AI) has been acknowledged by companies, the literature shows challenges concerning AI-enabled business-to-business (B2B) marketing…

Exploring the paths to big data analytics implementation success in banking and financial service: an integrated approach

Nastaran Hajiheydari, Mohammad Soltani Delgosha, Yichuan Wang, Hossein Olya

Big data analytics (BDA) is recognized as a recent breakthrough technology with potential business impact, however, the roadmap for its successful implementation and the path to…

Driving performance grading and analytics: learning internal indicators and external factors from multi-source data

Jiandong Zhou, Xiang Li, Xiande Zhao, Liang Wang

The purpose of this paper is to deal with the practical challenge faced by modern logistics enterprises to accurately evaluate driving performance with high computational…

Investigating the role of social identification on impulse buying in mobile social commerce: a cross-cultural comparison

Shang Chen, Qingfei Min, Xuefei Xu

As social commerce migrates to the mobile platform, mobile social commerce (ms–commerce), an emerging way of conducting social commerce in the mobile environment, is gaining…

Unleashing the dynamics of triple-A capabilities: a dynamic ambidexterity view

Jie Yang

This study examines the impact of knowledge management capabilities on agility, adaptability and alignment (triple-A), drawing upon the nexus of the knowledge-based view and…

Responding to market turbulence by big data analytics and mass customization capability

Hongyan Sheng, Taiwen Feng, Lucheng Chen, Dianhui Chu

This study aims to explore how to respond to market turbulence by big data analytics (BDA) capability and mass customization capability (MCC) from the perspective of…

HTMT2–an improved criterion for assessing discriminant validity in structural equation modeling

Ellen Roemer, Florian Schuberth, Jörg Henseler

One popular method to assess discriminant validity in structural equation modeling is the heterotrait-monotrait ratio of correlations (HTMT). However, the HTMT assumes…

Understanding the differences across data quality classifications: a literature review and guidelines for future research

Anders Haug

Numerous data quality (DQ) definitions in the form of sets of DQ dimensions are found in the literature. The great differences across such DQ classifications (DQCs) imply a lack…

Restoring clinical information system operations post data disaster: the role of IT investment, integration and interoperability

Utkarsh Shrivastava, Bidyut Hazarika, Alan Rea

Delay in the clinical information system (CIS) restoration overseeing critical health-care operations after an unexpected data loss can be fatal for patients under care…

How social enterprises gain cognitive legitimacy in the post-pandemic period? Social welfare logic and digital transformation

Gulizhaer Aisaiti, Ling Liang, Luhao Liu, Jiaping Xie, Tingting Zhang

This paper aims to propose a social enterprise legitimation mechanism by combining the established logic and transformational logic to test the validity of the conceptual model.

How anthropomorphism affects trust in intelligent personal assistants

Qian Qian Chen, Hyun Jung Park

With the continuous improvement of artificial intelligence (AI) technology, intelligent personal assistants (IPAs) based on AI have seen unprecedented growth. The present study…

A cost evaluation model for IoT-enabled prefabricated construction supply chain management

Wennan Zhang, Kai Kang, Ray Y. Zhong

This paper proposes an evaluation model for prefabricated construction to guide a supply chain with controllable costs. Prefabricated construction is prevalent due to area…

Causality seafood processing circular supply chain capabilities in qualitative data analytics

Ming-Lang Tseng, Thi Phuong Thuy Tran, Kuo-Jui Wu, Bing Xue, Xiaobo Chen

This study establishes a set of seafood processing circular supply chain capabilities (CSCCs) in Vietnam using qualitative data analytics. This study specifies the…