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The main aim of this paper is to examine the claim that economic value added (EVA) advocates its superiority over the traditional accounting-based financial performance measures, i.e. profit after tax (PAT), earnings per share (EPS), return on assets (ROA), return on equity (ROE) and return on investment (ROI) in the Indian manufacturing sector and at the same time, give empirical facts. It also tests and examines the information content of various performance measures and their relationship with stock returns.

The paper uses the sample of 534 Indian manufacturing companies from the Bombay Stock Exchange (BSE) during the period 2000–2018. Multiple regression models are applied to examine the information content of EVA and traditional performance measures in explaining shareholders’ returns.

Relative information content tests revealed that traditional accounting-based measures such as EPS, ROE and ROA performed better than EVA in explaining the returns of Indian manufacturing companies. Incremental information content of EVA adds little contribution to information content above traditional performance measures. The claim of superiority of EVA over accounting-based measures in association with shareholder returns is proved invalid in Indian manufacturing companies.

This study concludes that EVA has no superiority over traditional accounting-based financial performance measures in explaining stock returns of Indian manufacturing companies. To achieve heftiness in outcomes, panel data are tested by using Breusch–Pagan–Godfrey (BPG) test for heteroskedasticity, Hausman’s test for fixed and random effect, variance inflation factor (VIF) test for multicollinearity and Durbin–Watson test for autocorrelation.

The study aims to identify whether international financial reporting standards (IFRS) or local generally accepted accounting principles (GAAP) reporting provides investors and senior management of acquirer banks with superior information on target banks under post-merger bank performance.

The authors examine the claim that IFRS improves corporate transparency and increases financial reporting quality in European Bank merger and acquisitions (M&As). The authors compare the financial performance of merged banks where the target and acquirer banks employed the same reporting system (up to 305 merged banks) to the performance of a control group of banks not engaged in M&A activity (up to 1,690 European banks).

Local GAAP reporting allows a more transparent assessment of financial performance using traditional indicators, making it a superior tool for assessing potential acquisition targets.

Overall, the empirical findings are consistent with prior studies and indicate a significant relationship between local GAAP and post-merger performance, while IFRS does not contribute to post-merger bank performance.

The study is one of the very few studies to investigate the relationship between bank performance, M&A activity and accounting standards in EU-28 countries. The primary contribution the finding of poor performance of IFRS reporting merged banks compared to local GAAP banks in EU-28 countries in line with prior results of Huian (2012). In addition, several deal- and bank-specific characteristics that affect accounting standards influence M&A transactions in European banks.

The purpose of this study is to describe the use and benefit of TMAPs and CMAPs in Libyan oil companies.

The data were collected by distributing 210 mailed questionnaires to senior financial staff, such as financial managers, heads of cost department, financial accountants, department of management accounting employees, managerial accountants and Auditors. IFAC-based model was used in analyzing evolution stages in Libyan management accounting practices.

This study finds that Libyan oil companies use CMAPs more than TMAPs, the latter being commonly used in Libyan manufacturing companies. This study also finds that CMAPs are more beneficial than TMAPs.

This study provides more understanding of the use and the benefit of TMAPs and CMAPs and fills research gap regarding the matter, as well as provides new findings that can be used for further research regarding the use and benefit of TMAPs and CMAPs for Libyan oil companies.

The results contribute to a better understanding concerning the use and benefit of TMAPs and CMAPs in Libyan oil companies.

This study aims to propose a novel subjective assessment (SA) method for level 2 or level 2+ advanced driver assistance system (ADAS) with a customized case study in China.

The proposed SA method contains six dimensions, including perception, driveability and stability, riding comfort, human–machine interaction, driver workload and trustworthiness and exceptional operating case, respectively. And each dimension subordinates several subsections, which describe the corresponding details under this dimension.

Based on the proposed SA, a case study in China is conducted. Six drivers with different driving experiences are invited to give their subjective ratings for each subsection according to a predefined rating standard. The rating results show that the ADAS from Tesla outperforms the upcoming electric vehicle in most cases.

The proposed SA method is beneficial for the original equipment manufacturers developing related technologies in the future.

Disruptive technologies in the global logistics industry are often regarded as a threat to the existing business models of incumbents’ companies. Existing research, however, focuses mainly on whether technologies have disruptive potential, thereby neglecting when such disruptive transitions occur. To understand the timing of potential disruptive technological change, this paper aims to investigate the elements of the underlying ecosystem shaping these transitions.

Building on the established ecosystem framework from Adner and Kapoor (2016a), this paper constructs four categories of technology substitution to assess how quickly disruptive change may occur in the global logistics industry and defines key technology substitution determinants in logistics to emphasize the role of ecosystems for further consideration into disruptive innovation theory.

Based on the key determinants, this paper proposes first definitions of distinctive ecosystems elements linked to the three types of innovations, namely, sustaining innovations, low-end disruptions and new-market disruptions, thereby integrating ecosystems into Christensen’s (1997) disruptive innovation theory.

By developing a framework that conceptualizes the pace of technology substitution, this paper contributes to a more nuanced understanding of how logistics managers and academics can better predict disruptive transitions and develop strategies to allocate resources.

The paper aims to enrich previous findings for an emerging banking industry such as Vietnam, reporting the difference between the parametric and nonparametric methods when measuring cost efficiency. The purpose of the study is to assess the consistency in issuing policies to improve the cost efficiency of Vietnamese commercial banks.

The cost efficiency of banks is assessed through the data envelopment analysis (DEA) and the stochastic frontier analysis (SFA). Next, five tests are conducted in succession to analyze the differences in cost efficiency measured by these two methods, including the distribution, the rankings, the identification of the best and worst banks, the time consistency and the determinants of efficiency frontier. The data are collected from the annual financial statements of Vietnamese banks during 2005–2017.

The results show that the cost efficiency obtained under the SFA models is more consistent than under the DEA models. However, the DEA-based efficiency scores are more similar in ranking order and stability over time. The inconsistency in efficiency characteristics under two different methods reminds policy makers and bank administrators to compare and select the appropriate efficiency frontier measure for each stage and specific economic conditions.

This paper shows the need to control for heterogeneity over banking groups and time as well as for random noise and outliers when measuring the cost efficiency.

Drawing from tripartite theory of attitude, this study examined whether interaction effect of psychological ownership (cognitive component) changes the nature of the relationship between job satisfaction (affect component) and job performance (behavioral component) toward a higher or weaker relationship. Furthermore, the study draws from psychological ownership theory to find support whether job satisfaction is nurtured by the feeling of psychological ownership.

Longitudinal data from 211 academic and non-academic employees was randomly collected and partial least square-structural equation model (PLS-SEM) was used for data analysis through SmartPLS version 3.3.2.

The study found a positive interaction effect of psychological ownership on the relationship between job satisfaction and job performance. Furthermore, the study found that feeling of psychological ownership nurtures employees' satisfaction with their job.

The findings of the study explicate to human resource managers and practitioners the mechanism through which job satisfaction affects job performance and how feelings of psychological ownership nurtures employees' satisfaction with their job.

The study provides new insight into the relationship between job satisfaction and job performance by drawing on the tripartite theory of attitude perspective, and concluded that job performance as overall employee attitude toward the organization is predicted by the interaction and interplay of job satisfaction, psychological ownership and job performance as components of attitude. To the authors’ best knowledge, none of the previous literatures on job satisfaction–job performance relationship draws its conclusions from the perspective of tripartite theory of attitude. Furthermore, the study found empirical evidences that psychological ownership nurtures employees' job satisfaction.

Drawing on evidence from ten towns (across England, Wales and Northern Ireland) participating in the High Street UK 2020 (HSUK2020) project, the purpose of this paper is to reveal how local stakeholders involved in place management respond to high street decline through a strategy of repositioning.

This paper identifies the challenges faced by the towns considering repositioning, and highlights examples of good practice of relevance to the practitioners. First, it outlines the perspectives on repositioning from the academic research and theory, before drawing on evidence from across ten UK towns that participated in the HSUK2020 project, to reveal how repositioning involves more than just taking a snapshot profile of a place.

The research revealed major challenges faced by local stakeholders in clearly identifying and communicating their market position, in particular, the maintenance of up-to-date information on catchments was lacking at all the locations. Despite having local knowledge and some data, stakeholders still did not possess a clear (or shared) understanding of the identity or function of their towns. This evidence reflects the complexity of analysing and understanding repositioning and developing coherent strategies.

Knowledge exchange between stakeholders involved in place management can help inform the identification of new strategic objectives, appropriate interventions and project planning and delivery. Where resources are limited, particularly in smaller towns and settlements, the research demonstrates the significance of collecting and sharing data and analysis with other stakeholders, because this can generate positive outcomes for all.

By offering empirical evidence based on the experience of local practitioners, this paper provides valuable insight into how town centre stakeholders collect, interpret and analyse data, revealing the challenges, opportunities and practicalities involved in developing and implementing repositioning strategies.