Industrial Management & Data Systems

Purpose Given the critical role of internet tools in the multi-channel context, we propose that interactions enabled by inter-organizational systems (IOS) and social media can effectively mitigate multi-channel conflict. Furthermore, drawing upon task-technology fit (TTF) theory, we aim to explore the moderating roles of firms’ IT infrastructure capability and channel personnel's IT usage capabil…

Purpose Despite growing interest in value co-creation (VCC) in service innovation, few studies have examined how logistics enterprises collaborate with SaaS platforms and manufacturing companies to overcome geographical, organizational and technical barriers. This study fills this gap by developing a tripartite evolutionary game model to analyze the strategic interactions and evolutionary dynamic…

Purpose In the competitive e-commerce environment, self-operated firms independently manage procurement, logistics and sales, yet often experience inefficiencies due to weak coordination, forecast errors and supply chain disruptions. This study investigates the multi-period, multi-product inventory routing problem with procurement decisions under quantity discounts (MMIRP-QD), aiming to jointly o…

Purpose As the pace of carbon emission reduction in China slows, understanding how to reduce carbon emission inequality becomes increasingly important. However, urban-rural carbon emission inequality has received limited attention. This study aims to explore the causal relationship between smart logistics policy (SLP) and urban–rural carbon emission inequality (URCEI), and aims to provide new ins…

Purpose This study explores how manufacturing firms in emerging economies develop digital transformation competency (DTC). In asset-heavy traditional manufacturing, digital transformation requires high upfront investment and long payback periods, making sustained motivation indispensable; yet prior DTC conceptualizations have underemphasized this motivational dimension. Accordingly, drawing on th…

Purpose Existing studies have mainly examined the effects of IT or R&D investment on firm outcomes, but few have systematically assessed how these investments relate to corporate credit risk. This study aims to investigate how project-level IT investment and R&D investment, individually and interactively, influence corporate credit risk. Design/methodology/approach This study constructs a…

Purpose This study investigates how digital transformation (DT) enhances organizational resilience in small- and medium-sized enterprises (SMEs). It develops and tests a model that positions supply chain coordination (SCC) and supply chain dependence (SCD) as dual mediating mechanisms, and examines the contextual role of regional cultural tightness. Design/methodology/approach The research framew…

Purpose This study investigates how perceived information overload and distinct negative emotions—namely fatigue, dissatisfaction and frustration–shape users’ discontinuance intentions on short-video platforms, including both reduced-usage and abandoned-usage intentions. Design/methodology/approach Drawing on the stressor-strain-outcome model, a research model was developed and empirically tested…

Purpose Managing market competition is crucial for online tourism platforms. Existing research focuses on platform growth strategies to attract sellers, ignoring that the resulting market competition may erode the supply-side scale. Therefore, this study aims to examine the dynamic impact of market competition on the supply-side scale, in terms of seller numbers and product diversity, while explo…

Purpose The establishment of data trading platform drives regional cultural consumption by advancing the digital infrastructure. This study conducts an empirical analysis to examine the impact of data trading platform on regional cultural consumption. Additionally, it incorporates regional cultural innovation capacity, regional economic agglomeration level, residents' per capita income, and cultu…

Purpose This study investigates how digital sustainability leadership drives new revenue models in emerging market small medium-sized enterprises (SMEs), examining the mediating role of digital knowledge exploitation and moderating effects of radical green innovation. Design/methodology/approach Employing a sequential mixed-methods approach with qualitative interviews for theory development, foll…

Purpose This study examines how prices are formed in online auctions for remanufactured electronics, focusing on the joint roles of sellers, buyers and listing signals in shaping final transaction outcomes. It aims to move beyond linear pricing assumptions by uncovering how these signals interact under different competitive conditions. Design/methodology/approach The study analyses 1,039 complete…

Purpose AI-generated review summarization (AIGRS), a form of AI-generated content extracted from User-Generated Content (UGC) and presented in the same format at the top of review sections, have been adopted by major e-commerce platforms. This feature exhibits key characteristics of AI-generated content, including low emotional intensity and information neutrality. Does the presence of AIGRS infl…

Purpose This paper aims to link the macro-strategy of corporate decarbonization (CD) with micro-practices of digital servitization (DS) and provides a systematic solution for CD in manufacturing enterprises. Design/methodology/approach This study employs a qualitative meta-analysis of 39 case studies, including more than 100 manufacturing enterprises, to identify core DS micro-practices driving C…

Purpose Existing research predominantly focuses on the short-term impact of external contextual factors on online reputation, while largely overlooking its stable quality foundation – that is, the operational standards determined by internal governance. To address this critical gap, this study draws from extended agency theory and aims to explore how the core organizational variable of geographic…

Purpose Artificial intelligence (AI) technology is profoundly transforming socioeconomic development patterns, driving intelligent transformation across supply chain networks and creating strategic opportunities for firms to reconfigure their positions within them. This study empirically examines the impact of AI investment on firms’ bargaining power in supply chains, along with the moderating ro…

Purpose With the rapid development of artificial intelligence (AI), manufacturing firms increasingly leverage AI to improve risk detection and response capabilities. Yet, it remains unclear whether and how AI application effectively enhances organizational resilience, especially long-term resilience. Grounded in dynamic capability theory (DCT), this study aims to investigate the relationship betw…

Purpose Digital technologies such as big data drive operational excellence, yet their role in enhancing viable, sustainable and digital supply chain performance (VSDSCP) through supply chain connectivity (SCC) and innovation remains underexplored. Grounded in dynamic capability theory (DCT), this study aims to investigate the BDU–VSDSCP relationship via SCC and innovation mediation, employing a h…

Purpose This research aims to examine the impact of Industry 4.0 technologies on supply chain costs (manufacturing, administration, warehouse, distribution, capital and installation), specifically within the automotive industry, which is highly competitive and cost-sensitive. Design/methodology/approach To achieve this goal, the interval-valued Pythagorean fuzzy and Weighted Aggregated Sum Produc…

Purpose With the rapid evolution of online healthcare services, to stand out in this crowded field, physicians are beginning to engage in prosocial behaviors and offer free assistance to attract more patients. However, how physician prosocial behaviors across different types of platforms affect patient selection of online consultation remains underexplored. This study aims to explore the heteroge…