Search results

This paper aims to overcome the inability of both comparing loss costs and accounting for production resource losses of Overall Equipment Effectiveness (OEE)-related approaches.

The authors conducted a literature review about the studies focusing on approaches combining OEE with monetary units and/or resource issues. The authors developed an approach based on Overall Equipment Cost Loss (OECL), introducing a component for the production resource consumption of a machine. A real case study about a smart multicenter three-spindle machine is used to test the applicability of the approach.

The paper proposes Resource Overall Equipment Cost Loss (ROECL), i.e. a new KPI expressed in monetary units that represents the total cost of losses (including production resource ones) caused by inefficiencies and deviations of the machine or equipment from its optimal operating status occurring over a specific time period. ROECL enables to quantify the variation of the product cost occurring when a machine or equipment changes its health status and to determine the actual product cost for a given production order. In the analysed case study, the most critical production orders showed an actual production cost about 60% higher than the minimal cost possible under the most efficient operating conditions.

The proposed approach may support both production and cost accounting managers during the identification of areas requiring attention and representing opportunities for improvement in terms of availability, performance, quality, and resource losses.

This study aims to synthesize and analyze research on the Supply Chain Management Practices (SCMPs)-performance nexus, examine current knowledge, identify emerging trends, and provide plausible suggestions for future research engagements in the manufacturing sector in the context of Developing and Emerging Economies (DEEs).

Following a systematic review approach, this study analyzed 20 peer-reviewed scientific journal articles published between 2007 and 2021. The study sample was systematically selected from the Web of Science (WoS) and Google Scholar databases, following strict evaluation and selection criteria.

Numerous dimensions of SCMPs have been considered in the extant literature; however, six have stood out as the most common. In addition, operational performance stood out as the most widely investigated measure in the SCM literature. Moreover, SCMPs have predominantly shown positive effects on performance outcomes. Methodological issues that future studies should consider are suggested.

The sample size was not sufficiently large relative to the rule of thumb set in the literature because of the scarcity of studies in the manufacturing sector in the DEEs context. Despite these limitations, the results of this study provide crucial insights into knowledge and practice.

This review is the first of its kind to examine the SCMPs-performance nexus in the context of DEEs. Based on the findings of this study, future research directions are proposed.

This study investigates the quantitative aspect of the various strains of operational excellence (OE) and competitive-potential (CP) in the SME sector. It has five steps, i.e., identifying the key performance constructs of OE and their hypothesized relationship pattern from literature, validating these constructs through factor analysis, formalizing their empirical relationships by structural-equation-modeling (SEM), path analysis of performance constructs with the empirical results, and lastly proposing a framework for OE deployment in SMEs.

Data for the deployment scores of operational excellence procedures (OEPs) were collected through a structured questionnaire survey. Nine hundred participants from a stratified random sample were approached for the survey, and 473 responses were received. Sample stratification was based on Gender, Education, Experience, Position, Department and Industry. Respondents had 5–30 years of experience managing manufacturing operations, holding the manager position and above.

The path analysis of the structural model provides unique insights into OE's practical aspects in SMEs (small and medium enterprises). For example, Contractual-conformance and Process-efficiency play pivotal roles as both have a significant positive impact on CP. Supplier efficacy, Consistency and Product-excellence do not improve CP unless mediated by Contractual-conformance or Process-efficiency.

The study provides important implications for academia, policymakers and managers. The study identifies and validates the operational excellence key performance practices and proposes a framework for manufacturing organizations. SME managers can follow the framework to develop effective operational excellence strategies to help them achieve their organizational goals. Additionally, the study emphasizes the need for continuous culture in SMEs, which will help to support operational excellence deployment. Overall, the implications presented in the study will help SMEs to enhance their competitiveness and operational performance.

The study explores the empirical investigation of the operational excellence deployment in SMEs. The study uses a mixed method approach for research design, including qualitative and quantitative approaches, and uses SEM to test the proposed framework. Validation of OE's six key performance constructs and establishing their empirical relation is an attempt to advance the Operations excellence theory. Unlike large enterprises, SMEs demonstrate an incohesive response to the practices pertaining to Supplier efficacy, Consistency and Product-excellence. This unique response pattern requires special treatment, which is incorporated into the proposed framework.

Although leadership style plays a critical role in succession planning practices and succession success, empirical examination of its influence on the relationship between succession planning and success of succession in family-owned SMEs has received little attention in the literature. This study examines the interactive effect of the various types of leadership styles as internal branding mechanisms on the success of succession in family-owned SMEs.

We analyzed the data from 124 managers/CEOs of family-owned SMEs that have at least transitioned beyond one incumbent leader using SPSS Version 29.

The result shows that succession planning practices are positively associated with succession success. It further shows that leaders who brand themselves as transformational and participatory leaders have a positive, significant interactive effect on the relationship between succession planning activities and succession success. The positive relationship between succession planning activities and succession success is dampened when managers rely too heavily on a transactional leadership style. Both autocratic and laissez-faire types of leadership have no significant interactive effect on the relationship.

The study is distinct from past studies. Until now, knowledge about the interactive effect of the various leadership styles as internal branding mechanisms on the relationship between succession planning practices like coaching, mentoring, job rotation and training and succession success in family-owned businesses remains limited. Theoretically, the study is pioneering in the sense that it is among the first studies that extends internal branding to succession planning in family-owned businesses. The study enlightened our understanding of how the various leadership styles and internal branding mechanism influence succession success in family-owned SMEs.

The importance of developing and implementing sustainable business practices has never been greater. Business schools are increasingly tasked with preparing students to contribute to this imperative and although progress is being made, the impact of integrating sustainability into business school curriculum has remained uncertain as studies exploring the impact have been lacking. The purpose of this multi-case study was to examine the impact of integration efforts in two distinct undergraduate business programs at Royal Roads University. The research focused on how students' understanding of sustainability and their associated attitudes and behaviors changed as they progressed throughout their programs. In addition to considering the impact of a sustainability-infused curriculum, other factors affecting sustainability orientations were also explored. The study was unique in both its comparative nature and in its investigation of the various contextual factors shaping sustainability orientations. Data were collected through semi-structured interviews and through document analysis. Findings suggest a combination of approaches to integration is most effective in impacting sustainability perspectives. While sustainability was generally understood in a multidimensional manner, there was a noticeable environmental bias and a tendency to view it within the business framework. A need for stronger and more comprehensive conceptualizations was identified. Recommendations include: (a) embed sustainability in a comprehensive manner across the curriculum, (b) move beyond a disciplinary conceptualization of sustainability and introduce stronger sustainability discourse, (c) utilize powerful experiential and place-based pedagogies, (d) pay attention to context and ensure both the formal and the informal curriculum mutually reinforce a pro-sustainability agenda.

This paper examines the hypothesis of local herding (i.e. own-area effects) by individual investors on a particular stock-month. Using a unique dataset on online and offline individual investors’ trading records in Korea, we analyze buying and selling transactions involving 10,000 accounts from February 1999 to December 2005. We find that both online and offline investors in the same area tend to exhibit stronger local herding compared to investors’ trades who are geographically remote. Interestingly, online investors not only present stronger own-area effects but also exhibit more pronounced other-area effects compared with offline investors. Furthermore, our analysis indicates that gender and religious affiliation are important in investment behavior, with male and non-religious investors displaying a greater stock market participation in contrast to investors who are female and Protestant.

This chapter advances understandings of emotion work by examining how “doing gender” and “doing health” are implicated in the pursuit of emotional tranquility. The study examines the role of hair loss in women’s illness narratives of cancer using in-depth interviews with 16 white women in the US Northwest who vary in age, marital status, diagnoses, and treatments. The absence of women’s hair presents an appearance of illness that prevents them from doing femininity, which calls into question their health status because of Western beauty standards. To overcome this barrier, the women use emotion work to manage the effects of their appearance through necessarily co-occurring bodily, cognitive, and expressive strategies (Hochschild, 1979). The required emotion work during women’s hair loss makes explicit the symbolic linking of the healthy body with the feminine body through women’s head hair. Pursuing treatment for cancer is often seen as a “fight” or a “battle” against the disease and the bodily assaults of such treatments, including unwanted visible bodily changes. A substantial body of empirical work has established the complex web of social psychological problems associated with breasts and breast cancer, but less attention has been given to the side effect of hair loss that is common across cancer types and treatments.

The transformative impact of artificial intelligence (AI) and technological advancements has captured the attention of various stakeholders, from researchers to policymakers and the general public. Despite the promise of AI's benefits, concerns persist regarding its ethical, privacy, security, and societal implications. Public trust in AI remains low, with fears surrounding its future use and governance growing among scholars and the public. These anxieties are fueled by media narratives raising scenarios such as the “AI revolution” or “AI apocalypse.” Moreover, the prospect of technology-driven unemployment adds to this climate of anxiety. Meanwhile, AI's increasing geopolitical influence has shifted its focus from innovation to dominance, with national governments viewing it as a tool for competitive repositioning. However, AI also poses threats to democracy, as it facilitates the spread of misinformation and undermines electoral integrity. In this chapter, we explore further the challenges AI presents to modern society and democracy, focusing on political practices and electoral risks. Our analysis focuses on the political and social dimensions of AI, arguing that its impacts are shaped by specific political decisions rather than abstract technological dynamics. We emphasize the need to acknowledge and address the political implications of AI to foster a more informed discourse surrounding its deployment and regulation.

This research investigates the role of trust and social capital in shaping consumer behaviour in collaborative consumption (CC) platforms. By integrating system quality, social referral and shared goals, this study aims to develop a comprehensive framework that explains how these factors influence social trust, self-efficacy and ultimately drive consumers' intention to adopt CC.