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Steam explosions are a major safety concern in many modern furnaces. The explosions are sometimes caused by water ingress into the furnace from leaks in its high-pressure (HP) cooling water system, coming into contact with molten matte. To address such safety issues related to steam explosions, risk based inspection (RBI) is suggested in this paper. RBI is presently one of the best-practice methodologies to provide an inspection schedule and ensure the mechanical integrity of pressure vessels. The application of RBIs on furnace HP cooling systems in this work is performed by incorporating the proportional hazards model (PHM) with the RBI approach; the PHM uses real-time condition data to allow dynamic decision-making on inspection and maintenance planning.

To accomplish this, a case study is presented that applies an HP cooling system data with moisture and cumulated feed rate as covariates or condition indicators to compute the probability of failure and the consequence of failure (CoF), which is modelled based on the boiling liquid-expanding vapour explosion (BLEVE) theory.

The benefit of this approach is that the risk assessment introduces real-time condition data in addition to time-based failure information to allow improved dynamic decision-making for inspection and maintenance planning of the HP cooling system. The work presented here comprises the application of the newly proposed methodology in the context of pressure vessels, considering the important challenge of possible explosion accidents due to BLEVE as the CoF calculations.

This paper however aims to optimise the inspection schedule on the HP cooling system, by incorporating PHM into the RBI methodology, as was recently proposed in the literature by Lelo et al. (2022). Moisture and cumulated feed rate are used as covariate. At the end, risk mitigation policy is suggested.

In this paper, the proposed methodology yields a dynamically calculated quantified risk, which emphasised the imperative for mitigating the risk, as well as presents a number of mitigation options, to quantifiably affect such mitigation.

This paper aims to identify the combination of innovation determinants driving the creation of innovative products amongst market leaders and market followers in food and beverage (F&B) firms.

This research is based on the case study methodology by using two types of data sources: (1) semi-structured interviews with industry experts and (2) in-depth interviews with managers. In addition, a questionnaire adapted from prior research was used to consider market and firm types.

Suggesting an integrated theoretical framework based on firm-based factors and market-based factors, this study identified a combination of determinants significantly impacting innovative products in the market. Specifically, these determinants are competition intensity and innovation capability (a combination of research and development (R&D) investment and marketing capabilities). The study also examined how these determinants vary depending on whether the firms are market leaders or market followers.

This research provides practical insights for managers working in the F&B industry by using case studies and exploring the determinants of developing innovative products. In doing so, suitable strategies can be selected according to the market and firm situations.

The originality of the study is shown by focussing on how different combinations of market and firm factors could be applied in creating successful innovative products in the food sector.

This study investigates the impact of internal expectations, such as fantasy of success and fear of failure and external factors, such as social environment and past experiences, on entrepreneurial choice.

Based on achievement motivation and social cognitive theories, the authors construct hypotheses and use secondary data from the Global Entrepreneurship Monitor (GEM) database and Economic Freedom Index report to empirically test the hypotheses. The authors also use propensity score matching to solve the endogeneity issue and test the robustness.

Internal expectations (fantasy of success and fear of failure) on business outcomes inversely affect entrepreneurial choices, with a vibrant business environment amplifying and past failure experience mitigating these effects.

Due to the economic recession, governments encourage small businesses. Thus, the complexity of individual entrepreneurial motivations and influencing factors necessitate deeper exploration. This study is one of the first research offering insights into entrepreneurial motivations from combined dimensions and providing theoretical support for strategies promoting public entrepreneurship.

While the proliferation of chatbots allows companies to connect with their customers in a cost- and time-efficient manner, it is not deniable that they quite often fail expectations and may even pose negative impacts on user experience. The purpose of the study is to empirically explore the negative user experience with chatbots and understand how users respond to service failure caused by chatbots.

This study adopts a qualitative research method and conducts thematic analysis of 23 interview transcripts.

It identifies common areas where chatbots fail user expectations and cause service failure. These include their inability to comprehend and provide information, over-enquiry of personal or sensitive information, fake humanity, poor integration with human agents, and their inability to solve complicated user queries. Negative emotions such as anger, frustration, betrayal and passive defeat were experienced by participants when they interacted with chatbots. We also reveal four coping strategies users employ following a chatbots-induced failure: expressive support seeking, active coping, acceptance and withdrawal.

Our study extends our current understanding of human-chatbot interactions and provides significant managerial implications. It highlights the importance for organizations to re-consider the role of their chatbots in user interactions and balance the use of human and chatbots in the service context, particularly in customer service interactions that involve resolving complex issues or handling non-routinized tasks.

The study explores the impact of people-centered Knowledge Management Systems (KMS) on Supply Chain Performance (SCP). It also aims to reinforce the importance of people in an organization’s survival, particularly from a knowledge-based perspective, by empirically assessing the mediating effect of knowledge sharing on people-centered KMS and SCP. The model being assessed incorporates people-centered KMS that promote knowledge sharing and therefore improve SCP within Small and Medium sized Enterprises (SME) in developing countries, leading to their extended life span.

The study developed a knowledge-based SCP model using people-centered KMS as a predictor variable and knowledge sharing as a mediating variable, with SCP as the outcome variable. The data were collected from a sample of 580 SME owners from across Zimbabwe via a questionnaire developed based on validated constructs available in literature that was vetted through a pilot survey before distribution. The dataset was subsequently tested for validity of constructs and scales and analyzed using multiple regression.

The results of the study showed significant influence of three people-centered KMS, namely, Communities of Practice (CoP), Innovation Management (IM) and Organizational Culture (OC), on knowledge sharing but not from Social Capital. Thereafter, significant influence was also found of knowledge sharing on three process-based measures of SCP, namely, Time-Related Performance (TRP), Cost-Related Performance (CRP) and Responsiveness-Related Performance (RRP), but not on Operational Quality-Related Performance (OQRP). Thus overall, it was confirmed that people-centered KMS has a salutary impact on process-based SCP, with knowledge sharing serving as a significant mediator.

The study makes a novel contribution to the extant literature by providing insight into how people-centered KMS impacts SCP through knowledge sharing. Additionally, the geographical scope of the study also makes it among the few that have studied supply chain management within the context of developing economies, especially those that face significant economic pressures, such as Zimbabwe. Finally, given the criticality of SMEs to the economic growth in developing economies juxtaposed with the low survival rates of SMEs therein, the study reveals a relatively low-cost strategy of knowledge sharing among supply chain partners as a valid strategy to improve the SCP of these SMEs in an effort to enhance their survival rates. The primary limitation of the study relates to potential difficulty in the generalizability of findings because data were collected from a single country.

The original contributions of the study include: utilizing a people-centered knowledge management perspective, an establishment of the relationship between KMS on SCP and demonstrating the salience of knowledge sharing as a mediator; addressing the dearth of literature on supply chain management in developing economies, especially those with stressed economies; demonstrating the usefulness of knowledge sharing as a relatively low-cost but effective strategy to improve the performance of SMEs in a developing economy and thus lead to higher survival rates, thus providing a tool that can be used by the public and the private sector in developing countries to build structures for successful economic development.

In Latin America, the growing participation of women microentrepreneurs who continue to operate in the informal sector stands out. The purpose of this study is to analyse if the context where the business is developed influences the gender perspective in the decision of the microentrepreneur to remain in the informal sector, mainly in Peru, which registers high rates of informality in businesses led by women.

The National Household Survey for the period 2014–2021 is used with a sample of 63,020 micro and small Peruvian companies that have been in operation for more than three years. The data is analysed with the logistic regression technique.

The results show that microenterprises run by women are less likely to be formal. However, this situation would change if these businesses were larger. In addition, women microentrepreneurs face limitations in accessing resources, and their businesses frequently run from their homes, allowing them to hide their activities from regulatory bodies.

The context of Peruvian women microentrepreneurs who have been in operation for over three years and who persist in informality is analysed. It is essential to know the characteristics of this sector to formulate policies that encourage the formalization of companies, particularly in Latin America, incorporating gender differences.

Despite the unparalleled importance of value within healthcare, value-based models remain underutilised in the procurement of medical devices. Research is needed to understand what factors incentivise standard, low-priced device purchasing as opposed to value-adding devices with potentially higher overall health outcomes. Framed in agency theory, we examine the conditions under which different actors involved in purchasing decisions select premium-priced, value-adding medical devices over low-priced, standard medical devices.

We conducted 2 × 2 × 2 between-subjects scenario-based vignette experiments on three UK-based online samples of managers (n = 599), medical professionals (n = 279) and purchasing managers (n = 449) with subjects randomly assigned to three treatments: (1) cost-saving incentives, (2) risk-sharing contracts and (3) stronger (versus weaker) clinical evidence.

Our analysis demonstrates the harmful effects of intra-organisational cost-saving incentives on value-based purchasing (VBP) adoption; the positive impact of inter-organisational risk-sharing contracts, especially when medical professionals are involved in decision-making; and the challenge of leveraging clinical evidence to support value claims.

Our results demonstrate the need to align incentives in a context with multiple intra- and inter-organisational agency relationships at play, as well as the difficulty of reducing information asymmetry when information is not easily interpretable to all decision-makers. Overall, the intra-organisational agency factors strongly influenced the choices for the inter-organisational agency relationship.

We contribute to VBP in healthcare by examining the role of intra- and inter-organisational agency relationships and incentives concerning VBP (non-) adoption. We also examine how the impact of such mechanisms differs between medical and purchasing (management) professionals.

Each company, large or small, starts with a dream and an idea for a new product or service. Companies can succeed or fail for a wide variety of reasons, including inexperienced managers, failure to build or sell the desired product, launching products into highly competitive environments, and a lack of capital. This chapter reviews the traditional methods of capital formation, including funding by angel investors and venture capital firms. These funding methods are only available to relatively large firms, leaving millions of small firms without reliable debt and equity funding sources to scale their business. The growth of the internet, blockchain technology, and fintech firms has introduced innovative funding methods, such as crowdfunding and Initial Coin Offerings (ICOs). While these structures have been successful in raising capital for smaller firms, changes in the regulatory environment, such as the JOBS Act, are needed for these new forms of capital formation to reach their full potential.

This study aims to develop and test a model of the antecedents, mediators and consequences of the glass cliff phenomenon through public sector service organizations in Iran to explore more insights on gender inequality in managerial positions.

The current research was conducted based on a mixed-method approach, using both qualitative and quantitative research designs. First, the qualitative method includes content analysis by conducting semi-structured interviews with 20 university professors and expert managers working in public sector service organizations in Iran. The outcomes of the qualitative phase lead to designing the conceptual framework and research hypothesis. Then, through a quantitative phase, 384 female managers working in public sector service organizations in Iran are selected using stratified random sampling and fill out the research questionnaire. The exploratory factor analysis was used to verify the model. Moreover, structural equation modeling, using AMOS 24, was used to test the research hypothesis.

The findings of the qualitative phase were represented in three categories including antecedents (e.g. the characteristics of women’s leadership, the selection of women based on meritocracy criteria, women’s preferences and organizational factors), mediation effect (e.g. succession planning, personal development planning and support networks) and consequences of the glass cliff phenomenon (e.g. positive and negative consequences). The results of the exploratory factor analysis show there are ten components, explaining 88.5% of variances. Moreover, the test of the structural model supports the direct effect of antecedents on the glass cliff phenomenon. The results also show the effect of the glass cliff phenomenon on consequences through mediation effects.

There are some limitations that can be addressed by other researchers. Accordingly, the limited number of female managers in Iran prevented larger quantitative research. Moreover, the current research only found casual and mediation consequences of the glass cliff phenomenon, and potential moderators were not considered in this study.

The present study’s innovations may include using a mixed-method approach to investigate the antecedents, mediators and consequences of the glass cliff phenomenon in this study and examining the model constructs in some public sector service organizations. This research may provide a deep understanding of the antecedents, mediators and consequences of the glass cliff phenomenon by finding new factors using a mixed-method approach.

The literature mainly concentrates on the relationships between externally oriented digital transformation (ExtDT), big data analytics capability (BDAC) and business model innovation (BMI) from an intra-organizational perspective. However, it is acknowledged that the external environment shapes the firm's strategy and affects innovation outcomes. Embracing an external environment perspective, the authors aim to fill this gap. The authors develop and test a moderated mediation model linking ExtDT to BMI. Drawing on the dynamic capabilities view, the authors' model posits that the effect of ExtDT on BMI is mediated by BDAC, while environmental hostility (EH) moderates these relationships.

The authors adopt a quantitative approach based on bootstrapped partial least square-path modeling (PLS-PM) to analyze a sample of 200 Italian data-driven SMEs.

The results highlight that ExtDT and BDAC positively affect BMI. The findings also indicate that ExtDT is an antecedent of BMI that is less disruptive than BDAC. The authors also obtain that ExtDT solely does not lead to BDAC. Interestingly, the effect of BDAC on BMI increases when EH moderates the relationship.

Analyzing the relationships between ExtDT, BDAC and BMI from an external environment perspective is an underexplored area of research. The authors contribute to this topic by evaluating how EH interacts with ExtDT and BDAC toward BMI.