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This study aims to examine staff responses to management control systems (MCS) changes in an Australian university. Through the analysis of the category of staff responses, it aims to understand the perception gaps among the staff at different levels of the university.

Using a case study approach on an Australian university, data was collected from interviews with staff across three hierarchical levels to explore their behavioural responses.

This study finds that staff at all levels largely complied with MCS changes due to institutional enforcement. Top management emphasised aligning with government policies and funding, often using manipulation and compartmentalisation tactics in implementing the new MCS. Mid-level managers generally favour research strategies but feel excluded from decision-making and have limited influence over funding. They adopted a balancing tactic within a compromise strategy. Meanwhile, operating-level academics had mixed experiences, feeling largely powerless in influencing MCS while also showing instances of self-motivated compliance. Overall, the study reveals varying responses across different hierarchical levels, highlighting the complexities of MCS changes in staff behaviour and attitudes.

The insights from this study can guide university administrators and policymakers in understanding the intricate variations in staff reactions to institutional changes. By recognising the factors that drive compliance and defiance, institutions can better navigate and implement changes in MCS.

This research offers a unique perspective on the behavioural side of MCS changes in higher education. By focusing on varied hierarchical levels within a university, the study provides a granular understanding of individual responses, enriching the existing literature on MCS transitions in academia.

The purpose of this paper is to examine the supervening loss of inter-organisational trust in long-term commercial contracts. The underlying research question is whether contract law – the legal institution regulating economic exchanges – should intervene and enable a party to a long-term commercial contract to extricate itself from a situation where a relationship of trust has broken down irretrievably.

This paper uses doctrinal methodology and theoretical conceptualisation to answer the underlying research question. The legal instrument chosen for analysis purposes is the UNIDROIT Principles of International Commercial Contracts. This paper also draws on extant literature on inter-organisational trust (including conceptual and empirical studies) to support the arguments and propositions. Furthermore, this study proceeds to assess the substantive justifiability of the proposed remedial measure using four normative values: legal certainty and predictability, protection of the performance interest, economic efficiency and the preservation of the relation.

The central argument put forward in this paper is the reformulation of draft Article 6.3.1 proposed by the UNIDROIT Working Group on Long-Term Contracts, which confers a novel right to terminate for a compelling reason. This paper presents a multidimensional model of inter-organisational trust that would serve as the conceptual framework for the proposed reformulation of the provision and establishes a coherent juridical basis for the legal solution that would accord with the Principles of International Commercial Contracts’ general remedial scheme. As for the normative assessment, this paper demonstrates that the proposed remedial measure would significantly promote efficient outcomes and positively serve the norms of legal certainty, protection of the performance interest and the preservation of the relation.

This paper addresses the lacuna in current legal scholarship in relation to the adverse socio-economic effects following trust violation and deterioration in inter-organisational relationships. Additionally, the propositions and findings should contribute to the workings of the UNIDROIT in adopting new rules and principles that would serve the special requirements of cross-border trade.

This study examines the effect of occupational stress on turnover intention of employees working in the banking industry. The authors examine the mediating effects of service climate and emotional regulations of the employees in the relationship between occupational stress and intention to leave the organization.

This study followed stratified sampling technique for data collection from employees of ten commercial banks based on the banks' financial performance of top 5 and bottom 5 out of 27 banks. Data were collected at 2 stages, first from 465 employees for occupational stressors and second from 408 employees among the participants in the first stage for turnover intention, service climate and emotional regulation. Harman’s one-factor test was conducted to examine the common method bias. Confirmatory factor analysis (CFA), regression analysis and Preacher and Hayes Process Macro approach were used to examine mediation effect.

Three factors, namely workload (WL), role ambiguity and growth opportunity expectations were identified as the occupational stressors in the banking industry, predicting a positive relation of overall occupational stress to the intention to turnover. Service climate and the employees’ emotion regulation ability mediate the relationship between stress and turnover intention. Results also revealed no significant role of control variables in predicting occupational stress and turnover intention.

This study implies that the WL, role ambiguity and growth opportunity expectations of the employees cause stress in employees which may lead to have turnover intention. In order to get success in competitive environment, managers of banking industry can address stressors by enhancing service climate and formulating policies and programs to strengthen the emotion regulation which is evidence to strengthen the reciprocity approach of social exchange theory in employees’ commitment.

This study contributes to the social exchange theory and attempts to fulfill the gaps in empirical research on personnel psychology, human capital\ and organization management in developing countries.

Commercial banks face several risks, including credit, liquidity, operational and disruptive risks. In addition to these risks that are challenging for banks to control and manage, crises and disasters can exert substantially more destructive shocks. These shocks can exacerbate internal risks and cause severe damage to the bank's performance, leading banks to bankruptcy and closure. This study aims to facilitate achieving resilient banking policies through a model-based assessment of business continuity management (BCM) policies.

By applying a system dynamics (SD) methodology, a systemic model that includes a causal structure of the banking business is presented. To build a simulation model, data are collected from a commercial bank in Iran. By presenting the simulation model of the bank's business, the consequences of some given crises on the bank's performance are tested, and the effectiveness of risk and crisis management policies is evaluated. Vensim Personal Learning Edition (PLE) software is used to construct the simulation model.

Results indicate that the current BCM policies do not show appropriate resilience in the face of various crises. Commercial banks cannot create sustainable value for the banks' shareholders despite the possibility of profitability, as the shareholders lack adequate resilience and soundness. These commercial banks do not have the appropriate resilience for the next pandemic after coronavirus disease 2019 (COVID-19). Moreover, the robustness of the current banking business model is very fragile for the banking run crisis.

A forward-looking view of resilient banking can be obtained by combining liquidity coverage, stable funding, capital adequacy and insights from stress tests. Resilient banking requires a balanced combination of robustness, soundness and profitability.

The present study is a combination of bank business management, risk and resilience management and SD simulation. This approach can analyze and simulate the dynamics of bank resilience. Additionally, present of a decision support system (DSS) to analyze and simulate the outcomes of different crisis management policies and solutions is an innovative approach to developing effective and resilient banking policies.

This paper aims to explore the key risk factors affecting the Personnel Localization Management of international construction projects under the major public emergencies represented by the novel coronavirus pneumonia pandemic (hereinafter COVID-19) and how the public emergency affected the Personnel Localization Management from three levels: staff turnover rate, the number of different personnel, the salary and performance of workers. The paper also helps to enhance the construction enterprises' response capacity of major public emergencies and provides a comprehensive framework of optimization strategies for the Personnel Localization Management of international construction projects (hereinafter projects).

The main research method of this paper is the case study, and ten representative international construction projects are selected for case study in China construction enterprises (hereinafter CCE). And this study used the failure mode and effects analysis (FMEA) and comparative analysis to find out all potential risk factors under the COVID-19 and analyze how the epidemic affects the Personnel Localization Management of projects which based on the primary data from 10 projects obtained through in-depth interviews and the secondary data from China First Metallurgical Group and Central South Construction Group's Overseas Enterprise.

The findings show that the outbreak of the major public emergencies not only greatly increased eight risk factors but also directly led to an increase in staff turnover rate. Meanwhile, the numbers of Chinese and local managers and workers are all affected, and an increase in the number and the salary performance of local workers can be reduced, to a certain extent, to the cost-to-output ratio of the projects. The findings would help construction enterprises better cope with Personnel Localization Management and enhance the response capacity of major public emergencies.

This study will broaden researchers' horizons regarding “Personnel Localization Management under major public emergencies” and “risk factors of Personnel Localization Management in an international context.” Furthermore, construction enterprises looking for a better mechanism of Personnel Localization Management can benefit from research findings and lessons learned from the authors' case study during or before an outbreak of major public emergency. Lastly, the framework of optimization strategies for Personnel Localization Management can be used both for research purposes and practice issues in international construction projects.

The findings from the authors' case study offer the direction for international construction enterprises in China and other countries to formulate effective measures, strengthen overseas business and establish a crisis management mechanism for Personnel Localization Management under major public emergencies, and the findings provide emergency plans for projects to improve the public crisis handling capacity and respond to major public emergencies such as the COVID-19.

This study analyzes the impact of the COVID-19 on the Personnel Localization Management of international construction projects from the perspective of personnel. This study provides a theoretical reference for the international construction industry to actively respond to major public emergencies. Besides, the research is conducive to improving the emergency response mechanism in the construction industry, and further promoting the high-quality and globalized development of international construction.

This study provides other researchers with a comprehensive understanding of the risk factors affecting the Personnel Localization Management of projects under the COVID-19 and insight for further research on localization management, risk management, and project management.

Madan Mohanka set up Tega Industries Ltd. in 1976 to manufacture abrasion-resistant rubber mill lining products used in the mining and mineral processing industries. In 2011, as part of its inorganic expansion strategy, Tega bought a company in Chile. However, post-acquisition, several managerial, legal and commercial problems crept up in its manufacturing facilities in Chile, leading to financial downturn in Tega's fortunes in 2016 and compelling it to planning a revival between 2016-19. However, political unrest and Covid 19 uncertainty has caused a dilemma related to further investments worth INR 1.25 billion. Management is contemplating the next steps.

Do managers at different hierarchical levels in a firm perceive the effectiveness of a lean program differently, and does it matter for their commitment to it and the resulting lean implementation? This study answers these questions by analyzing the perceptions and behaviors of top and middle managers in a manufacturer deploying a global lean program.

The authors hypothesize that managers at different levels perceive lean programs differently, which, in turn, should affect their commitment to lean and the resulting implementation. To test these relationships empirically, the authors collect survey data from a global manufacturer in the process industry and analyze them using hierarchical linear regression and structural equation modeling.

The findings show that middle managers perceive lean programs as more effective than top managers do. They further show that higher commitment from the top and middle managers to the lean program is positively related to building the organizational infrastructure needed for lean implementation.

This research is conducted in one global company. Although the research setting implicitly controls for many possible confounding variables, such as the product and process complexity or organizational culture, future research can explore and test the findings in other organizational contexts.

This study is the first to empirically study the relations between perceptions of and commitment to lean programs across different hierarchical levels and what it means for program implementation. The paper contributes new plausible explanations for why many lean programs slow down.

Today’s marketplace has witnessed intense competitive pressures and high levels of uncertainty and disruption. Therefore, supply chains require agility to obtain a sustainable competitive advantage and cope with uncertainties as well as disruptions. Although a wide range of studies exists on supply chain agility (SCA) from the perspective of antecedents or consequences, there is little research on the investigation of enablers of SCA and their relations among them. Furthermore, the literature has investigated proactive and reactive enablers for enhancing SCA, but most studies have not sufficiently framed their analysis of both aspects synchronically. This paper aims to find out the interrelationships among the proactive and reactive enablers for enhancing SCA.

An extensive literature review has been conducted to identify SCA enablers and a Delphi study has been performed to elucidate SCA enablers in the manufacturing industry in Turkey. Interpretive structural modeling (ISM) has been used to identify the contextual relationship among the SCA enablers, and the model has been validated based on Matriced Impact Croises Multiplication Appliquee a un Classement (MICMAC) analysis.

On theoretical and practical levels, the proposed ISM model in this study can help organizations analyze and interpret interrelationships among enablers of SCA. For managers, it can provide better insights and understanding of the facilitators of SCA to enhance the effectiveness of the supply chain and cope with uncertainties and turbulence. According to results, enhancing “supply and demand side competency”, “delivery speed” and “strategic sourcing” are the most significant enablers of SCA.

The study extends the existing literature related to the enablers of SCA by modeling the proactive and reactive enablers of SCA based on the Al Humdan et al. (2020) classification. Arranging the enablers of SCA in a hierarchy and classifying the enablers into different levels with the help of the ISM-MICMAC approach is an exclusive effort to achieve successful management of the supply chain.

The purpose of this study is to explore how digital transformation helps enterprises achieve high-quality development, including the mediating mechanism of information transparency, innovation capacity and financial stability, the moderating role of financing constraints and government subsidies, and the heterogeneous effects of property rights, size and growth.

This study conducts two-way fixed-effect model using 780 samples of China's Shanghai-Shenzhen A-share listed companies from 2012 to 2019.

The results show that digital transformation can effectively improve the total factor productivity (TFP) of enterprises through the triple channels of information transparency, innovation capability and financial stability. Meanwhile, financing constraints significantly inhibited the contribution of digital transformation to TFP, while government subsidies significantly increased the contribution of digital transformation to TFP. In addition, state-owned enterprises (SOEs), large enterprises and high-growth enterprises are more able to achieve high-quality development by increasing their digital transformation.

In the process of implementing digital transformation, companies should actively improve information transparency, financial stability and innovation capabilities, and choose differentiated paths based on intrinsic characteristics such as property rights, scale and growth. At the same time, the government should actively improve not only the digital institutional environment but also the financial policy and credit system.

This study enriches the theoretical research framework of digital transformation and high-quality development by identifying the channel mechanisms and boundary conditions through which digital transformation affects high-quality development and expands the consequences of digital transformation and the antecedents of high-quality development.

This study is conducted to determine the factors that affect profitability in Chinese listed companies (by using financial ratios). Four independent variables liquidity, intangible assets, working capital and company leverage were empirically tested for their relationships with profitability besides two control variables which are firm size and company efficiency.

This study used secondary data extracted manually from the annual reports of non-financial Chinese listed companies on the Shanghai stock exchange (http://www.szse.cn/); the data set covers 100 companies during the period of 2017–2019, and a random selection method was used in order to achieve credibility and fairness as much as possible.

The findings show firm size, working capital and intangible assets have positive and significant relationships with profitability [return on assets (ROA) and earnings per share (EPS)]. Positive working capital is important to lower the cost of capital and improve companies' profitability. Intangible assets are also an essential source to improve profitability due to their low costs. In addition, the findings display a negative and strong relationship between liquidity and profitability, meaning that companies suffer low profit due to inefficient use of liquid items. Interestingly, leverage, which is measured by debt ratio and leverage ratio, shows mixed results; debt ratio shows a positive and strong association with ROA but not with EPS; while leverage ratio displays a strong but negative association with ROA but not with EPS. These results confirm the inverted U-shape relationship between leverage and profitability, which depends on the balance between benefit and cost of debt.

Profitability is also important for employees and society where business organization provides sustainability and stability for both of them. Employees can then significantly contribute to achieve higher firm's profitability by efficiently using firm's resources.

This study differs than previous studies in number of aspects: First, this study focuses on financial ratios to explain profitability in Chinese companies. This study provides empirical results about the factors connected to profitability and help stakeholders to make their right decisions. Second, it examines the impact of four independent factors and two control variables that some of them are new in Chinese context such as intangible assets. Third previous studies focus on financial industry such as banks; however, this study focuses on non-financial industry.