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Air transport accounts for nearly 40% worth of the global trade cargo volume, where more than 50% of the air cargo is carried on passenger flights. Therefore, this paper aims to focus on identifying the influencing factors for both passenger and cargo demand-driven networks to smoothen the global supply chain.

The data for the study was collected through literature reviews and interviews with industry experts. The analytical hierarchy process was used to analyze the expert's opinions on the critical factors affecting air cargo demand growth. Regression analysis was conducted using the selected variables to develop a model to calculate air cargo demand growth.

According to the expert opinion, it was identified that facilities under airport capacities and facilities are mainly affected by the air cargo carried by combi carriers. The model was developed considering the air connectivity index and air cargo demand at destination variables.

The factors identified here are mainly related to the current situation in Sri Lanka. Applying this methodology to other economic zones will add new factors related to their economic contexts and could be generalized as the influencing factors for the growth of air cargo demand by finding more results.

Previous studies have been conducted using different factors and models to forecast air cargo demand, and those did not consider demand from combi and all-cargo carriers together. More than 98% of air cargo trades in Sri Lanka are happening through combi carriers. Hence, Sri Lanka will be a best case study to analyze the behavior of combi carriers.

The purpose of this study was to improve the overall equipment effectiveness (OEE) of the production process of the shredder operation of ABC company, an industrial waste management company which supplies pre-processed industrial waste as alternative fuel to a cement plant.

This case study investigated all possible availability and performance losses that caused the shredder system’s OEE and various problem-solving techniques, such as root cause analysis and Pareto analysis, were used to find the root cause of the reduced OEE.

After analysing this case study, three significant loss factors were identified from all the availability and performance losses, which caused the shredder system’s OEE losses. Practical solutions were found for the effect of those loss factors to improve the machine’s OEE and productivity.

This case study has been concentrated on only analysing of losses and improvement of OEE in the production process and not about cost analysis between loss and improvements.

This paper shows how to improve the OEE of a production process through various problem-solving techniques by identifying its losses and how to achieve the best solutions for those losses in a practical manner.

This study aims to explore the ways that social enterprises (SE) create value by embedding themselves in networks through the process of social innovation (SI). The processes of achieving common social missions were studied through selected organizations using an open approach to SI. Novel operational structures as well as unique forms of created value were explored.

Two organizations embedded in local and international networks were studied and were chosen due to their SI profiles. The study was based on qualitative exploratory research. In-depth analysis was conducted through interviews, open discussions, document analysis as well as personal observation to understand the dynamic interrelatedness of the main factors influencing success of SI ventures.

This paper identified the role of SI in SEs embedded in networks. Furthermore, the social value creation processes of these organizations as well as the value they create were explored. Based on the findings, SI is rooted in the personality of the included members of the network. The tools of collaboration are platforms that connect the network members to each other. The embedded organizations apply the concept of community sharing with the aim of social value creation.

By focusing mainly on system design principles, the sample consists of mainly those at the core of organizations in facilitator roles, leaving peripheral actor perceptions to be determined by secondhand observations.

While providing a general summary of factors influencing SI activities from extent literature, the paper mainly contributes by providing deeper insight into complex models of SI practices used by SEs. The paper further contributes to popularizing the growing role of SI activities in SEs.

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.

The study investigates the current changes and future challenges in management practice as a result of the Covid-19 pandemic. According to creative destruction theory, industry disruptions (e.g., advancements in technology) combined with economic shocks (e.g., effects of the pandemic) often force impacted industries to undergo significant changes in order to survive. Therefore, it is important to investigate the changes on current and future management practice in the post-Covid world.

This exploratory study uses semi-structured interviews with 20 experienced public accounting leaders (PAL) whose titles include partner, director, CFO, senior manager, and manager.

This study provides PAL perspectives on the challenges of managing in an increasingly hybrid environment, the shift of the organizational structure of firms, the changes in responsibilities/skill sets needed at all levels of the firm, and the expectation that these challenges will continue to evolve.

This study contributes to the literature by showcasing how management practice (through the lens of accounting leaders) has significantly changed. The accounting profession was deemed an essential industry and continued in operation throughout the COVID pandemic. This study identifies six issues that will continue to influence management practice and provides topics for future research.

The automotive industry appears to overcome much of its obstacles, despite the constant struggle facing COVID-19. The pandemic has resulted in significant improvements in the habits and conduct of consumers. There is an increased preference for personal mobility. In this dynamic environment with unexpected changes and high market rivalry, automotive supply chains focus more on executing responsive strategies with minimum costs. This paper aims to identify and model the drivers to the responsiveness of automotive supply chain.

Seventeen drivers for supply chain responsiveness have been identified from the extensive literature, expert interview. An integrated methodology of fuzzy decision-making trial and evaluation laboratory–interpretive structural modelling (DEMATEL–ISM) is developed to establish the interrelationship between the drivers. The cause–effect relationship between the drivers was obtained through fuzzy DEMATEL technique, and a hierarchical structure of the drivers was developed using the ISM technique.

The result of the integrated methodology revealed that strategic decision-making of management, accurate forecasting of demand, advanced manufacturing system in the organisation and data integration tools are the critical drivers.

This study has conceptual and analytical limitations. In this study, a limited number of drivers are examined for supply chain responsiveness. Further research may examine the role of other key performance indicators in the broad field of responsiveness in the automotive supply chain or other industry sectors. Future study can uncover the interrelationships and relative relevance of indicators using advanced multi-criteria decision-making methodologies.

The authors proposed an integrated methodology that will be benefitted to the supply chain practitioners and automotive manufacturers to develop management strategies to improve responsiveness. This study further helps to compare the responsiveness of the supply chain between various automotive manufacturers.

This study examined the characteristics, motivations and satisfaction of volunteers for the Cincinnati Flying Pig Marathon Weekend across a 10-year period. The purpose was to enhance our understanding of sport event volunteers, especially in the long term. This information and insight may be useful in light of ongoing challenges with volunteer recruitment and retention, which have been exacerbated by the COVID-19 pandemic.

The authors developed and implemented an online survey, based primarily on the Special Event Volunteer Motivation Scale (SEVMS) and the Volunteer Motivations Scale for International Sporting Events (VMS-ISE). The sample included a total of 2,038 respondents – 1,086 in 2012 and 952 in 2022. Quantitative data were analyzed using descriptive statistics and Chi-square tests; qualitative data provided additional insight.

About two-thirds of 2022 survey respondents were “repeat volunteers.” Volunteer characteristics, motivations and satisfaction remained relatively consistent across the 10-year period. These volunteers were motivated by a set of multiple, interrelated factors which the authors call “community-based altruism” – that is, the desire to help others driven by a sense of community involvement and pride. In both years, more than 90% were satisfied with their volunteer experience. Satisfaction was higher for individuals with certain characteristics such as being a repeat volunteer and volunteering with a group.

This may be the first scholarly article to assess volunteer characteristics, motivations and satisfaction for a major sport event in the same location across multiple years. While it focused on a three-day running event in a midwestern city in the United States, the approach and findings may be applicable to sport event volunteers in other contexts.

Empowering leadership has a wide range of positive individual employee-related outcomes. However, a limited number of research studies are available emphasizing the overall organization-related outcomes. The major aim of this study is to delve into the function of organizational identification and intellectual capital (structural, relational and human) in mediating the relationship between empowering leadership and organizational innovativeness. Depending upon the resource-based view theory, this study comprehensively investigates the sequential effects of empowered leadership on the mediating roles of organizational identification and intellectual capital in organizational innovativeness.

Data were gathered through a self-administered questionnaire, which got 337 responses from telecom employees. To evaluate the hypotheses, the data were analyzed in SEM-M-Plus using exploratory and confirmatory factor analyses.

The findings demonstrate that empowering leadership impacts organizational innovativeness with the sequential mediation of organizational identification and intellectual capital (structural, human and social).

Organizations can identify and encourage leaders who exhibit empowering behaviors such as delegating responsibilities, providing autonomy and fostering a sense of ownership among employees. Also, organizations can foster intellectual capital by providing opportunities for learning, training and development. Additionally, knowledge sharing and collaboration can help to enhance the intellectual capital of employees.

While much research has been conducted on empowering leadership, the continued development of knowledge and the emergence of new perspectives related to identification and intellectual capital highlights the importance of exploring alternative paths that have been overlooked. Therefore, there is a pressing need to conduct research that takes into account these additional factors.

This paper aims to examine the link between the Big Five personality traits and self-efficacy for teamwork, positioning manifest needs as intervening variables. The primary purpose of the analyses is to further develop some of the key variables contributing to team performance.

Relationships were tested with conditional process analysis. The sample includes 315 students from a large university. Likert measures were used to operationalize survey items, which are based on existing scales in the literature.

Each of the Big Five dimensions are related to teamwork self-efficacy (TSE), with manifest needs having significant mediating effects. For example, conscientiousness displayed a positive relationship to TSE, with both the need for affiliation and the need for power acting as significant intervening variables. Such relationships for each personality dimension are discussed fully in the paper.

High functioning teams need members who share a level of self-efficacy for engaging in teamwork. Leaders who must form their teams may find it useful to consider TSE, and the individual attributes that contribute to this important construct. The authors’ examination of the roles of both personality and manifest needs should offer some essential tools for this objective.

This paper contributes to our understanding of the relationship between personality and TSE by investigating manifest needs as process variables.

With gaining popularity, online communities are increasing. It is leading to the data and information overflow. So, there are some challenges like cyber frauds, cyberbullying, etc. while engaging with online communities. Not only this, anonymity of the participants, stress and racism are also big challenges in online communities' interaction. Online harassers' attack tactics have changed over time. In addition, there are challenges like quality of discussion, inequality in participation of the users, etc. may scale online communities towards incitement and activism. Therefore, this study will try to analyse these challenges for overall benefit of the society.

The underlying fuzzy set theory is employed to handle the fuzziness of users' perceptions since the attributes are expressed in linguistic preferences. Through exhaustive literature review, the authors have identified 15 challenges. These challenges are further categorised as cause and effect by using DEMATEL (Decision-Making Trial and Evaluation Laboratory) approach.

Lack of strategic planning and uninspired discussions between users has emerged as a major challenge in cause category. This study further demonstrates how individual challenge can be managed and developed to navigate the online communities to maintain a healthy environment in society.

Results are based on limited dataset. Therefore, findings cannot be generalised for all online communities.

The research findings offer a suitable direction to policymakers to formulate and design policies, laws and regulations to increase user engagement in the online community. The study is beneficial to firms and researchers in understanding the factors influencing effective management of online communities.