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Past research provides instructive yet incomplete answers as to how incumbent firms can address competing concerns as they embrace digital innovation. In particular, it offers only partial explanations of why different concerns emerge, how they manifest, and how firms can manage them. In response, we present a longitudinal case study of Volvo Cars’connected car initiative. Combining extant literature with insights from the case, we argue that incumbent firms face four competing concerns—capability (existing versus requisite), focus (product versus process), collaboration (internal versus external), and governance (control versus flexibility)—and that these concerns are systemically interrelated. Firms must therefore manage these concerns cohesively by continuously balancing new opportunities and established practices.

PurposeThis study explores green human resource management in Pakistan's automobile industry.Design/methodology/approachThe nature of the study is quantitative, with cross-sectional data collected through a survey questionnaire. A convenience sampling strategy is employed to trace employees working in the automobile industry. In total, 400 surveys are distributed, with 190 responses received. The response rate is recorded as 47%.FindingsBy employing structural equation modeling (SEM), the study finds positive and significant effects of green employee involvement (GEI), green compensation and reward (GCR), green performance management (GPM), green training and development (GTD), and green recruitment and selection (GRS) on task-related green behaviors (TRGB), voluntary green behaviors (VGB), and green innovation (GI).Practical implicationsThe study's findings add greater depth to the knowledge about green human resource management (HRM) practices, with a focus on the developing country context. The proposed framework will provide guidelines to policymakers with recommendations on how to influence and implement task-related green behaviors, voluntary green behaviors, and green innovation within green HRM practices.Originality/valueThe conclusions of the study offer empirical confirmation of green HRM practices, task-related green behaviors, voluntary green behaviors, and green innovation in a developing country setting.

Can directed technical change be used to combat climate change? We construct new firm-level panel data on auto industry innovation distinguishing between “dirty” (internal combustion engine) and “clean” (e.g., electric, hybrid, and hydrogen) patents across 80 countries over several decades. We show that firms tend to innovate more in clean (and less in dirty) technologies when they face higher tax-inclusive fuel prices. Furthermore, there is path dependence in the type of innovation (clean/dirty) both from aggregate spillovers and from the firm’s own innovation history. We simulate the increases in carbon taxes needed to allow clean technologies to overtake dirty technologies.

PurposeThe COVID-19 pandemic has impacted all manufacturing sectors from basic products to luxury goods including the automobile industry. This has necessitated a new line of research on competency building, transparency, and sustainability in automotive supply chains. In this study, the authors examine the competencies required to improve the automotive supply chain routine operations to address the parts supply crisis from multitier suppliers in the post-COVID-19 environment. The authors also propose a list of competencies required in the automotive supply chains to deploy the transparency for sustainability (TfS) framework on a long-term basis.Design/methodology/approachThe authors have adapted a cross-case study process using intervention-based research and a design science approach for use in this study and used multiple sources for data collection such as published literature, operational experience, and critical opinions of original equipment manufacturer representatives. The research design includes interviews with global OEMs practitioners as one of the relevant sources of information.FindingsThe impact of the COVID-19 pandemic outbreak on automotive manufacturing operations and global supply chains is unprecedented. The TfS framework cycle has been validated using the real-world semiconductor supply crisis which deals with multitier sustainable supply chain management (MTSSCM), and the authors found that there are competency gaps when compared with existing literature. The list of key competencies identified along with the formulation of design propositions to facilitate both the supply crisis and collaboration among automotive firms to enhance their business performance were also presented.Research limitations/implicationsThe COVID-19 pandemic is impacting the automobile sector significantly. This situation has created many opportunities and obstacles, but this paper only considers the automotive semi-conductor shortage situation, which may be resolved in the near future when there are more installed capacities. Therefore, it is unclear whether the proposed responses will result in long-term solutions. Further adjustments may be needed to revisit the TfS framework. The research paper only addresses the automotive side of the current supply crisis, but more sustainability issues may arise in the future, which need to be dealt with separately.Practical implicationsResearch findings may prove particularly interesting to global automotive vehicle manufacturers, suppliers and policy makers who are seeking to understand multitier supply networks to resolve the current challenges associated with the post-COVID-19 pandemic situation.Originality/valueIn addition to contributing to developing competency requirements, this study enhances the evolving research stream of MTSSCM by linking it to wider research applications of intervention-based research coupled with design science.

Defective products are often recalled to limit harm to consumers and damage to the firm. However, little is known about why the timing of product recalls varies after an investigation is opened. Likewise, there is little evidence on whether recall timing affects stock markets. This study tests the effect of problem severity on time to recall, the role of brand characteristics in moderating this relationship, and the stock market impact of time to recall. The authors test the hypotheses on a sample of 381 recall investigations in the automobile industry between 1999 and 2012. The results show that although problem severity increases time to recall, this relationship is weaker when the brand under investigation (1) has a strong reputation for reliability and (2) has experienced severe recalls in the recent past. However, the relationship between problem severity and time to recall is stronger when the brand is diverse. Importantly, the results reveal that stock markets punish recall delays. The study suggests that time to recall has significant implications for managers and policy makers.

Will new technologies cause industries to shed jobs, requiring novel policies to address mass unemployment? Sometimes productivity-enhancing technology increases industry employment instead. In manufacturing, jobs grew along with productivity for a century or more; only later did productivity gains bring declining employment. What changed? The elasticity of demand. Using data over two centuries for US textile, steel and auto industries, this paper shows that automation initially spurred job growth because demand was highly elastic. But demand later became satiated, leading to job losses. A simple model explains why this pattern might be common, suggesting that today’s technologies may cause some industries to decline and others to grow. Automation might not cause mass unemployment, but it may well require workers to make disruptive transitions to new industries, requiring new skills and occupations.

Categories are organized vertically, with product categories nested under larger umbrella categories. Meaning flows from umbrella categories to the categories beneath them, such that the construction of a new umbrella category can significantly reshape the categorical landscape. This paper explores the construction of a new umbrella category and the nesting beneath it of a product category. Specifically, we study the construction of the Quebec terroir products umbrella category and the nesting of the Quebec artisanal cheese product category under this umbrella. Our analysis shows that the construction of umbrella categories can unfold entirely separately from that of product categories and can follow a distinct categorization process. Whereas the construction of product categories may be led by entrepreneurs who make salient distinctive product attributes, the construction of umbrella categories may be led by \"macro actors\" removed from the market. We found that these macro actors followed a goal-derived categorization process: they first defined abstract goals and ideals for the umbrella category and only subsequently sought to populate it with product categories. Among the macro actors involved, the state played a central role in defining the meaning of the Quebec terroir category and mobilizing other macro actors into the collective project, a finding that suggests an expanded role of the state in category construction. We also found that market intermediaries are important in the nesting of product categories beneath new umbrella categories, notably by projecting identities onto producers consistent with the goals of the umbrella category. We draw on these findings to develop a process model of umbrella category construction and product category nesting.

The automotive industry is one of the South African industries that contribute to the manufacturing output and exports and plays important to the country’s economic performance. However, the export volume from this industry depends on various economic factors that include foreign direct investment, domestic investment and exchange rate volatility. The current study aims to determine empirically these three variables on the export volume in the South African automotive industry. To achieve this objective, the authors applied the autoregressive distributed lag (ARDL) model, ECM and causality test on quarterly time series data from 2008 to 2021. The study findings reveal that in the long run, domestic investment has a dominant positive effect on exports from the automotive industry. However, while both domestic investment and exchange rate are inversely related to the export in the short run, foreign direct investment is positively significant to increase export levels. The study recommends, based on these findings, the implementation of strategies that enhance growth in domestic investment and cautious management of foreign direct investment as the latter is more effective in the short run. Additionally, the monetary policymakers should, in each policy introduced and implemented, aim for the stability of the domestic currency and its effect on exports, especially in the automotive industry. 

Design research (DR) positions information technology artifacts at the core of the Information Systems discipline. However, dominant DR thinking takes a technological view of the IT artifact, paying scant attention to its shaping by the organizational context. Consequently, existing DR methods focus on building the artifact and relegate evaluation to a subsequent and separate phase. They value technological rigor at the cost of organizational relevance, and fail to recognize that the artifact emerges from interaction with the organizational context even when its initial design is guided by the researchers' intent. We propose action design research (ADR) as a new DR method to address this problem. ADR reflects the premise that IT artifacts are ensembles shaped by the organizational context during development and use. The method conceptualizes the research process as containing the inseparable and inherently interwoven activities of building the IT artifact, intervening in the organization, and evaluating it concurrently. The essay describes the stages of ADR and associated principles that encapsulate its underlying beliefs and values. We illustrate ADR through a case of competence management at Volvo IT.