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The purpose of this study is to develop a friction-type energy-harvesting device based on magnetic liquids (MLs). This MLs energy-harvesting device combines MLs with a triboelectric nanogenerator (TENG), reducing the friction thermal effect to improve the conversion efficiency and working frequency band.

First, the motion equation of the MLs is calculated using the Bernoulli and fluid continuity equations. Second, the sloshing process of an ML in a container is simulated using the finite element simulation method, and the magnetic field distribution of the permanent magnet in the MLs is calculated. Then, the output characteristic of the ML-TENG is deduced theoretically, and the influencing factors of the output voltage are analyzed. Finally, the output voltage of the MLs energy-harvesting device was tested experimentally, and the influence of the magnetic field on the output voltage was tested.

This study proposes a vibration energy harvesting device based on MLs. The output voltage of the device was obtained through simulation and experimental tests, and the effect of the magnetic field on the output voltage was obtained.

This study provides a method to convert vibration energy into electrical energy using the magnetic response and fluid characteristics of MLs, and the availability of the device is verified by simulation and experiment. This energy-harvesting device exhibits less loss and a more sensitive response.

This study addresses a gap in the knowledge on how longitudinal engagement in a school improvement initiative influences change in middle leaders’ (MLs') interactions and assesses how school–university partnerships around school improvement can support teachers with formal leadership roles (i.e. MLs’) leadership development.

Using a two-year longitudinal research design, university staff facilitated middle leadership training in a school-defined improvement initiative on lesson study. Results from a pre-test followed by two post-tests administered at one-year intervals were collected on social networks. Analyses examined changes in indegree and brokerage patterns among groupings of senior leaders (SL), subject leaders, cross-school specialists and teachers.

Accounting for staffing changes, 27 of 67 staff members participated in each survey, yielding 1,623 distinct ties connecting school members. Over the first year, advice-seeking increased by 225%. SLs’ initial propensity to consult peers shifted towards MLs and teachers. Subject leaders advising other leaders and teachers increased tenfold. Teachers’ peer-to-peer consultation increased by 2,000%. Specialists with school-wide responsibilities became the dominant group for advising other leaders, such as SLs and subject leaders. These shifts were sustained over the second year.

The study demonstrates that engagement in the school–university partnership support and the corresponding structural changes stimulated robust cross-school dialogue among teachers and various leaders. Brokerage patterns indicated an enhanced role for MLs in driving the school-defined improvement initiative which corresponded to university-designed development activities.

We examine the market valuation of targets with multiple large shareholders (MLS) and single large shareholder (SLS) structures, in an international sample of M&A announcement in 19 countries outside North America. We find that the presence and power of MLS in these firms are negatively associated with abnormal returns and first-bid-to-merger-completion returns, suggesting that MLS mitigate agency problems in the target, and hence their acquisition is perceived as “a loss of good governance.” The negative association between MLS targets and returns is stronger in widely held firms suggesting that MLS indeed curb expropriation of minority shareholders. By contrast, when the second largest shareholder in the MLS structure of the target is a family, we find positive cumulative abnormal returns at the merger announcement, suggesting exacerbated agency problems in these firms that should benefit from the “acquisition of good governance.” Our evidence is robust to a battery of tests and to addressing potential endogeneity.

This study aims to examine whether a firm's demand for high-quality auditors is influenced by multiple large shareholders (MLS). As one type of ownership structure, MLS have gained popularity in China recently and have different types of large shareholders, including large institutional shareholder, large foreign shareholder and large state shareholder. The authors also examine whether different types of MLS have heterogeneous impacts on appointing high-quality auditors.

With a sample of 27,131 firm-year observations from Chinese public companies from 2003 to 2018, the authors use multivariate regressions to examine the effect of MLS on auditor choice. Heckman two-stage analysis, a firm fixed effects model, propensity score matching and difference-in-differences test are used as robustness checks.

This paper finds that the presence and power of MLS increase the likelihood of appointing high-quality auditors. With regard to the types of MLS, large institutional shareholders and foreign shareholders have significant positive effects on appointing high-quality auditors, while the presence of state-owned large shareholders has no effect on auditor choice. Further analyses reveal that the positive effect of MLS on high-quality auditor choice is more pronounced in firms with severe agency problems and information asymmetry. Taken together, these results suggest that MLS play a monitoring role by demanding high-quality auditors.

This paper contributes to the literature on the determinants of auditor choice. While prior studies primarily focus on the impact of concentrated ownership structure, corporate governance and the pressure from stakeholders on auditor choice, this paper complements the literature by providing evidence from the heterogeneous effects of different types MLS. This paper also extends the literature on the consequences of MLS from the perspective of auditor choice.

Two of the primary growth strategies for Major League Soccer (MLS) have been team expansion and the construction of soccer-specific stadiums. Therefore, the purpose of this paper is to determine the relationship between these factors and game-specific MLS spectator attendance.

Two multiple regression models, one using multi-level mixed effects linear regression and another using interval regression, were developed to explain the variation in attendance utilizing the two factors of interest along with other control factors that have been identified as attendance determinants in previous literature. Game-specific data were collected for five MLS seasons, 2007-2011.

The two regression models explained approximately 40 percent of the variation in spectator attendance and the results showed that expansion teams and soccer-specific stadiums were significantly related to attendance. However, the effect of soccer-specific stadiums was minimized due to the extreme success of the Seattle Sounders in drawing about twice as many fans as the next highest drawing franchise, yet playing in an American football stadium.

While many of the standard factors such as the presence of holidays and novelty players, competition from other professional teams, and day of week, competition from other professional teams; team quality failed to show significance. Expansion teams drew better than incumbent teams and the impact from soccer-specific stadia is weak given the success of the Seattle franchise (and possibly negative when excluding Seattle). Censoring of the dependent variable had a discernible impact on many of the attendance factors.

These findings may be useful to managers of MLS and their teams along with other professional teams and/or leagues that are investigating the use of either team expansion or the construction of new facilities to increase spectator attendance.

This is the first study to investigate the relationship between expansion and new stadium construction in MLS over multiple years. The results indicate that MLS’s decision to use team expansion and the construction of soccer-specific stadiums has been beneficial with respect to spectator attendance.

Employing multi-type laborers (MLs) is common in multinational and cross-culture projects (MPCs). Different attributes of MLs can lead to uncertain and dynamic laborer behaviors (i.e. behavioral diversities), which may cause project deviations. Previous studies do not consider the uncertainties or dynamics of behaviors adequately or they only provide general suggestions. The purpose of this paper is to combine system dynamics (SD) and agent-based modeling (ABM) to build an integrated model. The proposed ABM-SD can gain better understanding of MLs’ behavioral diversities, reveal the associated impacts and improve project management.

Based on extensively review in construction labor management and computer simulation, architecture is built to depict the relationships between the affecting factors of MLs’ behaviors, MLs’ behavioral diversities and project performance. Second, conceptual structures of the ABM-SD model are developed. Third, methods to implement the model in practice are introduced, focusing on data collection and model structure adjustment. Finally, the model is tested in a case study.

Different ML groups have distinctive behaviors which constantly change through interactions between MLs, engineers and external environment. Inadequate consideration of the diversities can result in inaccurate estimation of productivity, work quality and absenteeism, causing severe project deviations such as schedule delay, cost overrun and high absenteeism. On the other hand, using the ABM-SD model, the root causes of project deviations are analyzed from the perspective of MLs’ behavioral diversities and the optimization of labor management can significantly improve project performance.

This paper supplements previous studies because the ABM-SD model takes fully use of the strength of simulation of solving uncertain and dynamic problems and combines both qualitative and quantitative findings in existing studies of labor management. Besides, the ABM-SD model is also a practical management tool to better monitor laborer behaviors and forecast the impacts. The limitation is mainly about the small scale of the case study. However, the ABM-SD model already demonstrates the mechanism about how MLs’ different behaviors affect a project, which fulfill the aim of the study.

The ABM-SD model can simulate MLs’ behavioral diversities and produce reliable estimations of project performance. It also allows to optimize management plans. Furthermore, The ABM-SD model is adjustable based on specific project conditions, which make it applicable for different tasks, different laborer compositions and even different projects. Thus, the ABM-SD model can be a practical tool for engineers in MCPs.

SD and ABM are applied to study behaviors with well-known benefits in both separated and integrated manner. However, few studies use the approach to investigate MLs’ behaviors in MCPs. Hence, the proposed ABM-SD model is an original attempt to improve the laborer management level in MCPs.

The purpose of this paper is to assess the performance of the stabilised moving least squares (MLS) scheme in the meshless local Petrov–Galerkin (MLPG) method for heat conduction method.

In the current work, the authors extend the stabilised MLS approach to the MLPG method for heat conduction problem. Its performance has been compared with the MLPG method based on the standard MLS and local coordinate MLS. The patch tests of MLS and modified MLS schemes have been presented along with the one- and two-dimensional examples for MLPG method of the heat conduction problem.

In the stabilised MLS, the condition number of moment matrix is independent of the nodal spacing and it is nearly constant in the global domain for all grid sizes. The shifted polynomials based MLS and stabilised MLS approaches are more robust than the standard MLS scheme in the MLPG method analysis of heat conduction problems.

The MLPG method based on the stabilised MLS scheme.

Resource-based view (RBV) theory (Barney, 1991; Barney and Mackey, 2016; Nagano, 2020) states that a firm’s tangible and intangible resources can represent a sustainable competitive advantage (SCA), a long-term competitive advantage that is extremely difficult to duplicate by another firm, when it meets four criteria (i.e. not imitable, are rare, valuable and not substitutable). In the context of this case, we believe there are three sources of SCA to be discussed using RBV – the major league soccer (MLS) team player roster, the use of artificial intelligence (AI) technologies to exploit this roster and the league’s single-entity structure: • MLS players: it has been widely acknowledged that a firm’s human resource talent, which includes professional soccer players (Omondi-Ochieng, 2019), can be a source of SCA. For example, from an RBV perspective, a player on the Los Angeles Galaxy roster: > cannot play for any other team in any other league at the same time (not imitable and are rare), > would already be a competitive player, as he is acquired to play in the highest professional league in the country (valuable) and > it would be almost impossible to find a clone player matching his exact talent characteristic (not substitutable) anywhere else. Of course, the roster mix of players must be managed by a capable coach who is able to exploit these resources and win championships (Szymanski et al., 2019). Therefore, it is the strategic human resource or talent management strategies of the professional soccer team roster that will enable a team to have the potential for an SCA (Maqueira et al., 2019). • Technology: technology can also be considered a source of SCA. However, this has been a source of contention. The argument is that technology is accessible to any firm that can afford to purchase it. Logically, any MLS team (or for that matter any professional soccer team) can acquire or build an AI system. For many observers, the only obvious constraint is financial resources. As we discuss in other parts of the case study, there is a fan-based assumption that what transpired in major league baseball (MLB) may repeat in the MLS. The movie Moneyball promoted the use of sabermetrics in baseball when making talent selection (as opposed to relying exclusively on scouts), which has now evolved into the norm of using technology-centered sports analytics across all MLB teams. In short, where is the advantage when every team uses technology for talent management? However, if that is the case, why are the MLB teams continuing to use AI and now the National Basketball Association (NBA), National Football League (NFL) and National Hockey League are following suit? We believe RBV theorists have already provided early insights: > “the exploitation of physical technology in a firm often involves the use of socially complex firm resources. Several firms may all possess the same physical technology, but only one of these firms may possess the social relations, cultural traditions, etc., to fully exploit this technology to implementing strategies…. and obtain a sustained competitive advantage from exploiting their physical technology more completely than other firms” (Barney, 1991, p. 110). • MLS League Single-Entity Structure: In contrast to other professional soccer leagues, the MLS has one distinct in-built edge – its ownership structure as a single entity, that is as one legal organization. All of the MLS teams are owned by the MLS, but with franchise operators. The centralization of operations provides the MLS with formidable economies of scale such as when investing in AI technologies for teams. Additionally, this ownership structure accords it leverage in negotiations for its inputs such as for player contracts. The MLS is the single employer of all its players, fully paying all salaries except those of the three marquees “designated players.” Collectively, this edge offers the MLS unparalleled fluidity and speed as a league when implementing changes, securing stakeholder buy-ins and adjusting for tailwinds. The “socially complex firm resources” is the unique talent composition of the professional soccer team and most critically its single entity structure. While every team can theoretically purchase an AI technology talent management system, its application entails use across 30 teams with a very different, complex and unique set of player talents. The MLS single-entity structure though is the resource that supplies the stability required for this human-machine (technology) symbioses to be fully accepted by stakeholders such as players and implemented with precision and speed across the entire league. So, there exists the potential for each MLS team (and the MLS as a league) to acquire SCA even when using “generic” AI technology, as long as other complex firm factors come into play.

This case relied on information that was widely reported within media, press interviews by MLS officials, announcements by various organizations, journal articles and publicly available information on MLS. All of the names and positions, in this case, are actual persons.

MLS started as a story of dreaming large and of quixotic adventure. Back in 1990, the founders of the MLS “sold” the league in exchange for the biggest prize in world soccer – the rights to host the 1994 Fédération Internationale de Football Association World Cup before they even wrote up the business plan. Today, the MLS is the highest-level professional men’s soccer league competition in the USA. That is a major achievement in just over 25-years, as the US hosts a large professional sports market. However, MLS has been unable to attract higher broadcasting value for its matches and break into the highest tier of international professional soccer. The key reason is that MLS matches are not deemed high quality content by broadcasters. To achieve higher quality matches requires many inputs such as soccer specific stadiums, growing the fan base, attracting key investors, league integrity and strong governance, all of which MLS has successfully achieved since its inception. However, attracting high quality playing talent is a critical input the MLS does not have because the league has repeatedly cautioned that it cannot afford them yet to ensure long-term financial sustainability. In fact, to guarantee this trade-off, the MLS is one of the only professional soccer leagues with an annual salary cap. So, the question is: how does MLS increase the quality of its matches (content) using relatively low cost (low quality) talent and still be able to demand higher broadcast revenues? One strategy is for the MLS to use AI playing technology to extract higher quality playing performance from its existing talent like other sports leagues have demonstrated, such as the NFL and NBA. To implement such a radical technology-centric strategy with its players requires the MLS to navigate associated issues such as human-machine symbioses, risking fan acceptance and even altering brand valuation.

The case is written and designed for a graduate-level (MBA) class or an upper-level undergraduate class in areas such as contemporary issues in management, human resource management, talent management, strategic management, sports management and sports marketing. The case is suitable for courses that discuss strategy, talent management, human resource management and brand strategy.

Purpose – Canadian library workforce data were used to explore recent graduates’ perceptions of their MLS programs: their ratings of the competencies acquired, satisfaction with the overall quality of education, and suggested improvements.

Design/Methodology/Approach – Surveys of libraries and practitioners were conducted from 2003 to 2006. These data were used as a baseline in replicating the survey with the staff of Canadian research libraries in 2013/2014. Recent graduate librarian data were extracted from the two data sets and comparatively analyzed.

Findings – The profile of recent graduates did not change appreciably between 2004 and 2014. Graduates surveyed in 2014 more favorably rated generalist skills and were more likely than the 2004 sample to indicate that they were provided with the range of skills and abilities required to effectively perform their jobs. Management, leadership, and business skills continued to rank lowest. Roughly half of 2004 and 2014 graduates continued to indicate satisfaction with the quality of education received overall. Similarly, half of 2004 and 2014 graduates felt that they could apply what they learned to their current jobs and fewer agreed that they were provided with a realistic depiction of what it is like to work as an academic librarian. Suggestions for program improvement were mostly stable over time, with greatest importance attached to making programs more practical/practice-oriented and improvements to the relevance and currency of the curriculum.

Originality/Value – Studies of the Canadian library workforce had not been conducted previously. This study should be of interest to MLS schools who are re-envisioning their programs with the experiences of recent graduates/new professionals in mind.

In 2005, a qualitative study was undertaken to explore the educational events, personal experiences, and job circumstances that a selected group of non-MLS library directors working in small Texas communities believed were significant in contributing to their professional development. Face-to-face interviews were conducted with 17 female library directors working in Texas communities with populations of 25,000 or less using open-ended questions, and interviews were recorded and transcribed for later analysis. Four major topic areas relating to the professionalization of non-MLS library directors were identified from the data: (1) job satisfaction, including library work as spiritual salvation, librarianship and the ethic of caring, making a difference in the community, and pride in professional identity; (2) professional development, including hiring narratives, continuing education and lifelong learning, mentoring and professional development, and the importance of the MLS degree; (3) challenges facing small community library directors, including gender-based discrimination, resistance from local governing officials, and geographic isolation; and (4) guidelines for success, including understanding the community, becoming part of the community, making the library the heart of the community, business and managerial skills, and people and customer service skills.