This work proposes and empirically tests a new framework for evaluating the relationship between stakeholder pressures, the adoption of low-carbon operations practices and firms' carbon performance. ...It seeks to expand upon stakeholder theory and the natural-resource-based view (NRBV) to understand further the role of operations management in a low-carbon environment. Our theoretical hypotheses were tested through the Partial Least Squares method with bias-corrected and accelerated (BCA) bootstrap confidence intervals. The key findings encapsulate a mixture of expected and unexpected research results: (i) stakeholder pressures influence both barriers and motivators for decarbonising operations management practices; (ii) a variety of barriers and motivators significantly affect the adoption of low-carbon operations management practices; (iii) developing positive relationships with stakeholders is important to overcome barriers from the external environment and enhance organisational competitiveness; (iv) low-carbon operations management has an overall effect on firms' carbon performance; However, unexpectedly: (v) firms seem to face difficulties in understanding stakeholder pressures when developing low-carbon products and logistics, due to a lack of awareness of the sources of barriers to the adoption of low-carbon management practices; (vi) in terms of stakeholders, competitors tend to exert significant pressure towards the adoption of low-carbon operations, while government does not; (vii) more research is necessary to better understand the apparent weak link between low-carbon logistics and firms' low-carbon performance.
Purpose
The purpose of this paper is to consolidate the servitization knowledge base from an organizational change perspective, identifying developed, developing and undeveloped topics to provide a ...platform that directs future research.
Design/methodology/approach
This paper addresses three objectives: it comprehensively examines organizational change management literature for selection of a theoretical framework; it classifies extant studies within the framework through a systemic literature review; and it analyses 232 selected papers and proposes a research agenda.
Findings
Analysis suggests increasing global awareness of the importance of services to manufacturers. However, some topics, especially related to servitization transformation, remain undeveloped.
Research limitations/implications
Although the authors tried to include all publications relevant to servitization, some might not have been captured. Evaluation and interpretation relied on the research team and subsequent research workshops.
Practical implications
One of the most significant challenges for practitioners of servitization is how to transform a manufacturing organization to exploit the opportunity. This paper consolidates literature regarding servitization, identifying progress concerning key research topics and contributing a platform for future research. The goal is to inform research to result eventually in a roadmap for practitioners seeking to servitize.
Originality/value
Although extant reviews of servitization identify themes that are examined well, they struggle to identify unanswered questions. This paper addresses this gap by focusing on servitization as a process of organizational change.
To influence demand, some online retailers post messages (e.g., “5 units or less left in stock”) on their product pages to signal impending stockouts. These “scarcity” messages provide consumers ...“partial” inventory information, revealing only an upper bound on the number of units available for sale. To examine the impact of these messages, we obtained price and sales data from an online‐retailer website across a sample of durable goods before and after the retailer posted the messages over multiple inventory‐replenishment cycles. We then used these data to assess empirically the effect of these messages on these products' daily sales. We find that disclosing these messages can decrease daily sales by an average of 17.60%. This finding suggests that scarcity messages such as these can have a negative influence on the sales prospects of durable goods. We also observe, on the other hand, that price discounts are quite effective in increasing sales and offsetting the losses induced by scarcity messages. On average, a reduction of 1% in stock keeping unit price increases daily sales by approximately 3%. Therefore, relative to disclosing scarcity messages, price discounts are a much more effective tool at increasing inventory turns.
Generating creative ideas and turning them into innovations is key for competitive advantage. However, endeavors toward creativity and innovation are bounded by constraints such as rules and ...regulations, deadlines, and scarce resources. The effect of constraints on creativity and innovation has attracted substantial interest across the fields of strategic management, entrepreneurship, industrial organization, technology and operations management, organizational behavior, and marketing. Research in these fields has focused on various constraints that trigger distinct mediating mechanisms but is fragmented and yields conflicting findings. We develop a taxonomy of constraints and mediating mechanisms and provide an integrative synthesis that explains how constraints affect creativity and innovation. Our review thus facilitates cross-disciplinary learning and sets the stage for further theoretical development.
PurposeDrawing on the literature on dynamic capabilities and digital transformation, this paper conceptualises and investigates the relevant antecedents of an essential capability for digital ...transformation – the digital transforming capability – and its effect on the competitive advantage of firms.Design/methodology/approachA framework with individual and organisational microfoundations of the digital transforming capability is proposed based on previous research. The digital transforming capability is conceptualised as a second-order construct. The model is tested using data from a broad spectrum of large US companies. Structural equation modelling (SEM) is applied to test the proposed framework.FindingsThe study identifies three main microfoundations that, when combined, build a digital transforming capability (digital-savvy skills, digital intensity and context for action and interaction); in addition, the study tests the relationship between digital transforming capability and firm performance. The results validate the proposed theoretical framework. In addition to proposing relevant microfoundations of the digital transforming capability, we advance knowledge on the performance effects of those microfoundations.Originality/valueThe paper contributes to advancing the understanding of the digital transformation phenomenon by revealing the role of the primary components underlying the digital transforming capability. Yet the mechanisms by which the micro-level aspects are important for digital transformation and organisational outcomes are only suggested by anecdotal evidence. The paper also contributes to ongoing calls for further investigation to extend the understanding of the microfoundations of dynamic capabilities. Finally, by drawing on archival data, this study also contributes to calls to broaden the toolkit used in dynamic capabilities research.
•This work highlights challenges of service operations in the sharing economy.•Empirical evidence of peer effects and externalities is presented.•Data was gathered from Brazilian libraries through ...big data analysis.•This work provides detailed insights to the economics of the sharing economy.•This work extends knowledge on service operations in the sharing economy.
Information and operations management in libraries presents a unique opportunity to provide insights for the sharing economy. Libraries correspond to a special type of sharing goods, named common-pool resources. Such resources have two characteristics: they are non-exclusive, but rival to each other. Service operations in libraries involve thousands of operations every year, making them a perfect context for the use of big data analytics capabilities (BDAC) to provide real-world evidence on the potential existing challenges in the sharing economy. Employing a novel dataset related to 723,798 library transactions, made by 16,232 individual users during a 10-year period (2006–2015), we estimate peer effects among users via regression analysis, considering the number of books each user borrows. Our main results suggest that a rise in the number of loans among a user’s peer group correlates with her own loans, an evidence of positive peer effects. However, a closer look at the data suggests a high degree of heterogeneity, in terms of behavioral patterns. First, we suggest that peer effects do not occur in the case of users who are not subject to monetary fines. Second, peer effects vary according to users’ category (student or non-student), and area of study (management, accounting, economics, and other courses). Third, there is evidence of different magnitudes of peer effects according to time in school, which suggests the existence of learning effects in a library setting. The results reported in this paper highlight the important role of big data analytics capabilities to uncover new challenges of the sharing economy, having important implications, both in theoretical and practical terms.
Supply chain resilience and data analytics capability have generated increased interest in academia and among practitioners. However, existing studies often treat these two streams of literature ...independently. Our study model reconciles two different streams of literature: data analytics capability as a means to improve information-processing capacity and supply chain resilience as a means to reduce a ripple effect in supply chain or quickly recover after disruptions in the supply chain. We have grounded our theoretical model in the organisational information processing theory (OIPT). Four research hypotheses are tested using responses from 213 Indian manufacturing organisations collected via a pre-tested survey-based instrument. We further test our model using variance-based structural equation modelling, popularly known as PLS-SEM. All of the hypotheses were supported. The findings of our study offer a unique contribution to information systems (IS) and operations management (OM) literature. The findings further provide numerous directions to the supply chain managers. Finally, we note our study limitations and provide further research directions.
The COVID-19 pandemic and the Russian-Ukrainian war revealed vulnerabilities in supply chains, emphasizing the need for resilience in multiple industries. While Industry 4.0 is valuable, it cannot ...fully address complex supply chain challenges. Therefore, exploring additional drivers like Operations Management has become imperative. More clearly, the adoption of Operations Management tools and practices helps implement and use enabling technologies more effectively. In this context, the aim of the paper is to conduct a literature review to study supply chain resilience considering these two concepts. In other words, the objective of the work consists in examining the effectiveness of the mentioned combination. The paper presents a conceptual framework for enhancing supply chain resilience by exploring the potential of Industry 4.0 and Operations Management. The paper also underlines the positive impact issued from hybridizing both solutions to achieve resilience. As it discusses enhancing features of each concept aside the other. The paper provides a basic model for researchers to further detailed studies, and for managers to bringing the proposed framework from theory to practice.
Previous studies have shown that individuals make suboptimal decisions in a variety of supply chain and inventory settings. We hypothesize that one cause is that individuals are overconfident (in ...particular, overprecise) in their estimation of order variation. Previous work has shown theoretically that underestimating the variance of demand causes orders to deviate from optimal in predictable ways. We provide two experiments supporting this theoretical link. In the first, we elicit the precision of each individual's beliefs and demonstrate that overprecision significantly correlates with order bias. We find that overprecision explains almost one-third of the observed ordering mistakes and that the effect of overprecision is robust to learning and other dynamic considerations. In the second, we introduce a new technique to exogenously reduce overprecision. We find that participants randomly assigned to this treatment demonstrate less overprecision and less biased orders than do those in a control group.
This paper was accepted by Peter Wakker, decision analysis.
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