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As quality issues become more prominent in supply chain (SC) management, understanding the factors driving SC quality integration (SCI_Q) and quality performance has become increasingly important, shifting the focus of quality management to firms in SCs. This study aims to examine the role of SC quality leadership (SCQL) in facilitating SCI_Q and its direct and indirect relationship with quality performance.

Data on 400 Chinese manufacturing firms were collected using survey questionnaires. The hypothesised relationships between SCQL, SCI_Q and quality performance were tested using structural equation modeling in AMOS 22.0.

Empirical results show that SCQL has a positive and significant effect on quality performance and all three dimensions of SCI_Q: supplier quality integration, internal quality integration and customer quality integration. The results also show that SCI_Q mediates the relationship between SCQL and quality performance.

Executives should develop SCQL to improve SCI_Q in their SCs and ultimately improve quality performance. In particular, nurturing SQI can potentially lead to unique capabilities, relative to competitors. They should be aware of their important role in integrating and coordinating between functional units within the firm and between SC members.

This study enriches the SCM literature by identifying SCQL as a new and significant antecedent of SCI_Q in manufacturing firms. It contributes to the SC leadership literature by conceptualizing both the quality and social responsibility aspects of SC leadership, conceptualizing SCQL at the firm level and positioning SCI_Q as a mediator between SCQL and quality performance.

The authors propose novel tests for the detection of Markov switching deviations from forecast rationality. Existing forecast rationality tests either focus on constant deviations from forecast rationality over the full sample or are constructed to detect smooth deviations based on non-parametric techniques. In contrast, the proposed tests are parametric and have an advantage in detecting abrupt departures from unbiasedness and efficiency, which the authors demonstrate with Monte Carlo simulations. Using the proposed tests, the authors investigate whether Blue Chip Financial Forecasts (BCFF) for the Federal Funds Rate (FFR) are unbiased. The tests find evidence of a state-dependent bias: forecasters tend to systematically overpredict interest rates during periods of monetary easing, while the forecasts are unbiased otherwise. The authors show that a similar state-dependent bias is also present in market-based forecasts of interest rates, but not in the forecasts of real GDP growth and GDP deflator-based inflation. The results emphasize the special role played by monetary policy in shaping interest rate expectations above and beyond macroeconomic fundamentals.

Despite the economic growth in Ghana, the manufacturing industry faces numerous challenges in their supply chains. The study aims to investigate the mediated-moderated role of supply chain technological innovation (SCTI) in the relationship between supply chain resilience (SCR) and supply chain performance (SCP) of manufacturing firms. By exploring this relationship, the study seeks to provide insights that can help manufacturing firms overcome the challenges they face and improve their overall supply chain performance.

The quantitative research approach and explanatory research design were utilised. A sample of 345 manufacturing firms was drawn from a population of 2495 manufacturing firms in the Accra metropolis. Analysis of this study was performed using the Partial Least Squares Structural Equation Modelling (PLS-SEM).

It was revealed that SCTI positively mediates the nexus between SCR and SCP. However, we document that SCTI negatively moderates the nexus. It is instructive to advocate that a mere presence of a more enhanced SCTI is not enough to improve upon SCP of manufacturing firms, but should be a channel through which SCR can improve SCP.

This study highlights the need for managers of firms to prioritise investment in technological innovation as a means of enhancing SCR and ultimately improving supply chain performance. By understanding the SCTI mediated-moderated relationship between SCR and SCP, supply chain managers, logistics managers, operation managers, as well as procurement managers can develop more effective strategies to optimise their operations. This study provides valuable insights for managers and policymakers in developing and implementing supply chain resilience strategies that take into account the important role of SCTI.

The originality of the study lies in exploring the mediated-moderated effect of technological innovation on the nexus between resilience and performance of supply chains in developing economies, where firms often face unique challenges such as infrastructure limitations, political instability and economic uncertainty. By investigating the interplay of SCTI between SCR and SCP, researchers can develop new insights and strategies to help navigate these challenges and achieve success.

Attentive to task-related information is the prerequisite for task completion. Comparing the cognition between attentive readers (AR) and inattentive readers (IAR) is of great value for improving reading services which has seldom been studied. To explore their cognitive differences, this study investigates the effectiveness, efficiency and cognitive resource allocation strategy by eye-tracking technology.

A controlled user study of two types of task, fact-finding (FF) and content understanding (CU) tasks was conducted to collect data including answer for task, fixation duration (FD), fixation count (FC), fixation duration proportion (FDP), and fixation count proportion (FCP). 24 participants were placed into AR or IAR group according to their fixation duration on paragraphs related to task.

Two types of cognitive resource allocation strategies, question-oriented (QO) and navigation-assistant (NA) were identified according to the differences in FDP and FCP. In FF task, although QO strategy was applied by the two groups, AR group was significantly more effective and efficient. In CU task, although the two groups were similar in effectiveness and efficiency, AR group promoted their strategies to NA while IAR group sticked to applying QO strategy. Furthermore, an interesting phenomenon “win by uncertainty”, which implies IAR group may get correct answer through uncertain means, such as clue, domain knowledge or guess, rather than task-related information, was observed.

This study takes a deep insight into cognition from the prospect of attentive and inattentive to task-related information. Identifying indicators about cognition helps to distinguish attentive and inattentive readers in various tasks automatically. The cognitive resource allocation strategy applied by readers sheds new light on reading skill training. A typical reading phenomenon “win by uncertainty” was found and defined. Understanding the phenomenon is of great value for satisfying reader information need and enhancing their deep learning.

This paper aims to examine the types of user misbehaviours in the sharing economy (SE) context. SE offers a fruitful study setting due to the scope of potential misbehaviour and the expanded role of consumers.

The study drew on online archival data from the AirbnbHell.com website, where people share their stories about their Airbnb-related negative experiences. The authors reviewed 405 hosts’, guests’ and neighbours’ stories and coded the identified forms of misbehaviours into categories. The typology thus developed was validated in the context of the Uber Rides service.

User misbehaviours in the SE context can be distinguished based on the domain in which the user role is violated and the nature of violated norms. These two conceptual distinctions delineate a four-fold typology of user misbehaviours: illegal, unprofessional, unbefitting and uncivil behaviours.

The trustworthiness of the stories could not be assessed.

The presented typology can be used as a mapping tool that facilitates detection of the full scope of misbehaviours and as a managerial tool that provides ideas for effective management of misbehaviours that correspond to each category.

The paper presents the first empirically derived comprehensive typology of user misbehaviours in SE settings. This typology enables classification of a broad set of misbehaviours, including previously overlooked unprofessional behaviours carried out by peer-service providers. The study also puts forward a revised definition of consumer misbehaviours that encompasses the impact of misbehaviours on parties not directly involved in the SE-mediated exchange.

This paper aims to appraise the effectiveness of gender quotas in breaking the glass ceiling for women on boards (WoBs) in companies that are legally obliged to comply with quotas (listed companies and state-owned companies, LP) and in those that are not (unlisted companies and nonstate-owned companies, NLNP). Furthermore, it investigates the glass cliff phenomenon, according to which women are more likely to be appointed to apical positions in underperforming companies.

A balanced panel data of the top 116 Italian companies by total assets, which are present in both 2010 and 2017, is used for estimating ANOVA tests across sectors and fixed-effects panel regression models.

WoBs significantly increased in both the LP and the NLNP companies, and this increase was greater in the financial sector. Furthermore, the relationship between the percentage of WoBs and firm performance is not linear but depends on the financial corporate health. Specifically, the situation in which a woman ascends to a leadership position in challenging circumstances where the risk of failure is high (glass cliff phenomenon) is only present in companies with the lowest performance in the sample, in other words, when negative values of Roe and negative or zero values of Roa occur together.

These findings have relevant policy implications that encourage the adoption of gender quotas even in specific top positions, such as CEO or president, as this could lead to a “double spillover effect” both vertically, that is, in other job positions, and horizontally, toward other companies not targeted by quotas. Practical interventions to support women in glass cliff positions, on the other hand, relate to the extent of supervisor mentoring and support to prevent women from leaving director roles and strengthen their chances for career advancement.

The authors explore the ability of gender quotas to break through the glass ceiling in companies that are not legally obliged to do so, and to the best of the authors’ knowledge, for the first time, the glass cliff phenomenon in the Italian context.

Social interaction in comment sections has become a key factor for backers' decision making in crowdfunding platforms. However, current research on the two-way social interaction in crowdfunding is insufficient, and there exist inconsistent conclusions. This study focuses on the social interaction between creators and backers and explores its influence on the successful exit of crowdfunding projects.

The extended Cox model is used for the empirical analysis of 1,988 crowdfunding projects on the Modian (www.modian.com) platform, a crowdfunding platform for cultural and creative projects in China. The two-way social interaction is reflected in comment quantity and sentiment, as well as reply rate.

Results reveal an inverted U-shaped relationship between comment quantity/sentiment and the successful exit of crowdfunding projects. This relationship is strengthened by high reply rate.

This study focuses on comment quantity and sentiment. The inverted U-shaped results reconcile previous conclusions. Replies from creators are regarded as a separate factor, and their moderating role is explained. The study research proves the importance of social interaction in crowdfunding platforms and provides suggestions for backers, creators and platform managers.

The purpose of this paper is to understand how higher education institutions (HEIs) educate future leaders with social impact contributing to the sustainable development goals (SDGs). HEIs have an interest in developing leaders with social impact, but there is a lack of knowledge on the best teaching and learning strategies to engage students with social action aimed at the SDGs. This paper fills this gap by addressing the question of how HEIs can shape the sustainability mindsets of future leaders with social impact contributing to the SDGs.

This research used a mixed method research design, including a quantitative survey and qualitative semi-structured interviews of UK students involved in HEIs experiential learning programmes, focused on social impact and entrepreneurial action, developed in partnership with the organisation Enactus.

This research highlighted the importance of experiential learning, as it develops the knowledge, values and competency underpinning the sustainability mindset of future leaders contributing to the SDGs, in particular their emotional intelligence.

This research shows that HEIs can educate future leaders with social impact contributing to the SDGs, through real-world experiential learning that develops their sustainability mindset; in terms of aligning the curriculum to the SDGs, more focus on the systems perspective of the sustainability mindset framework is needed.

The study aims to analyze the relationship between tourists' satisfaction and their sense of belonging in a specific cultural destination by also investigating the moderating role of their on-site involvement, both offline (on-site activities at the destination) and online (social media activities). A further objective lies in exploring the relationship between tourists' sense of belonging and their adoption of environmentally responsible behavior while at the destination. Finally, the paper attempts to determine whether said behavior can predict tourists' pro-environmental behavior and recommendation intention.

To reach these objectives, a survey and a structural equation model, based on a sample of 647 visitors of an important world Heritage site UNESCO (i.e. Urbino), have been adopted.

Findings reveal a positive influence of sense of belonging on satisfaction and environmentally responsible behavior, which, in turn, influences pro-environmental behavior and Recommendation intention, thus triggering a virtuous process in the tourists' formation as responsible and loyal travelers. Moreover, results underline how the relationship between satisfaction and sense of belonging is significantly strengthened when tourists' on-site activity involvement increases. Conversely, the moderating role of social media involvement is not supported.

The present study offers important implications for different actors in the tourism sector, such as policy makers, destination marketing organizations (DMOs) and tourism operators.

The present study explores the role of social media involvement, specifically during the tourist's holiday.

This study enriches the empirical evidence in the cultural tourism through an analysis focused on the tourists' perspective, especially by investigating the relationship between satisfaction and emotional constructs (i.e. sense of belonging) that are able to bring environmental and loyalty benefits to the destination. Moreover, although existing research has highlighted the positive influence of the tourists' involvement on their experience, there is a paucity of studies jointly analyzing the on-site and online activities in the sustainability field.