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The unprecedented economic crisis in Greece deeply affected entrepreneurship, which was traditionally characterised by low levels of innovation and competitiveness, the dominant presence of micro-sized enterprises and the weak signs of prosperity in large firms. This paper, in acknowledgement of the necessary transformations that production incurred due to the crisis, attempts to detect the characteristics of large manufacturing firms that contributed to their greater resilience during the unstable period of 2011–2016 by analysing the determinants of the higher profitability of firms. The analysis shows that firms that improved their productivity and sales levels and in parallel are flexible, in the sense that they have limited amounts of both assets and liabilities and thus a small risk, are those that presented higher profits during the period under study. Initial conditions, sectoral characteristics and the broader national environment do not seem to have a strong contributive role in firms' profitability.

The analysis follows a dynamic system generalised method of moments (GMM) estimation based on a panel data set of 125 Greek large firms over the time span 2011–2016.

The analysis shows that firms that improve their productivity and sales levels and in parallel are flexible, in the sense that they have a limited amount of both assets and liabilities and thus a small risk, are those that present higher profits during the period under study. Initial conditions, sectoral characteristics and the broader national environment do not seem to have a strong contributive role in firms' profitability.

The present paper attempts to explain the performance of the most dynamic large manufacturing firms in Greece by investigating the role of some of the most important determinants of firm profitability (according to data availability), acknowledging, however, some analysis' limitations as the absence of some other parameters like the export activity or the incorporation of any innovative features in the firms

The novelty of this paper lies in two points. First, the subject of the analysis is the large firms in Greece, which have not received much attention as Greek entrepreneurship was traditionally based on the light, labour- or resource-intensive production and the main bulk of the literature was not on that topic. Second, during the deep and protracted crisis that Greece has experienced, several production transformations have taken place that remain partly undiscovered. The present paper attempts to analyse the characteristics of large firms that drove their profitability and improved their resilience during the crucial time period 2011–16.

在希臘出現的史無前例的經濟危機深深地影響了該國的創業能力，而希臘的創業能力有其傳統特徵：低水平的創新與競爭力、微型企業佔主導地位和大企業呈現微弱的繁榮跡象。本文在承認這經濟危機導致生產必須轉型的前提下，研究那些於2011年至2016年這不穩定期間營運的大型製造公司，透過分析它們能取得更高利潤的決定因素，以探求是哪些公司特徵使其有更強的抵禦和復原能力。分析顯示，那些改善了生產率和銷售水平的公司，亦同時是靈活變通的公司 （所謂靈活變通，是指公司無論在資產抑或負債方面的數量上都是有限的，因此，它們只需冒小風險），就是那些在本研究涵蓋期間展示獲取更高利潤的公司。初始條件、行業的特徵和更廣泛的國家環境，就公司的盈利能力而言，似乎沒有扮演重要的促進角色。

分析用了廣義動差估計(GMM)這動態系統，基於涵蓋125間希臘大公司、橫跨2011年至2016年期間的面板數據。

分析顯示，那些改善生產率和銷售水平的公司，亦同時是靈活變通的公司 （所謂靈活變通，是指公司無論在資產抑或負債方面的數量上都是有限的，因此，它們只需冒小風險），就是那些在本研究涵蓋期間展示獲取更高利潤的公司。初始條件、行業的特徵和更廣泛的國家環境，就公司的盈利能力而言，似乎沒有扮演重要的促進角色。

本文擬透過探討一些決定公司盈利能力最重要的因素 （根據數據的可獲性），來闡釋在希臘那些最有動力的大型製造公司的績效，但亦同時承認分析有局限之處，那就是，分析沒有涵蓋一些其它決定因素：出口活動和那些公司有否納入任何創新功能。

本文有兩個創新之處：首先，本研究分析的對象是在希臘的大企業，而這個研究對象和課題未曾得到頗多的關注，這是因為希臘的創業能力一向基於勞動密集型或資源密集型的輕工業生產，而過去大部分文獻都不涉及這個課題。另外，當希臘經歷這個巨大且持久的危機時，國內有些仍未普遍察覺的生產轉型出現了。本文擬分析推動大企業於2011年至2016年間這關鍵時刻取得利潤，及改善其抵禦和復原能力的公司特徵。

The purpose of this paper is to quantify several measures to examine the determinants of profitability for the listed Indian banks. The authors include both public sector (PSUs) and private sector’s banks in the study. The authors have taken all the banks that are registered on the Bombay stock exchange (BSE) in the sample. This paper also intends to identify the association between the net profit margin (PM) and return on assets (ROA) with the several other independent variables of the Indian banking sector including private banks and public banks over the past six years starting from April 1, 2012 to March 31, 2017. Therefore, a sample of 39 listed banking companies and total 195 balanced observations are selected for the analysis purpose.

The authors have used profitability as a dependent variable represented by net PM, ROA and several financial ratios as independent variables. Financial statement and income statement of all listed banks were obtained from BSE and particular company’s website. Panel data regression has been analyzed with both the descriptive research techniques, i.e., fixed effects and random effects. The authors also verified both panel techniques with Hausman’s specification test, which is a widely used procedure for selecting a panel effect. The authors applied PP – Fisher χ², PP – Choi Z-statistics and Hadri to testing whether the data set is free from unit root problem and data set is a stationary series.

Results imply that interest expended interest earned (IEIE) and credit deposit ratio (CRDR) reduced the profitability of private banks in India. IEIE, CRDR and quick ratio (QR) reduced the profitability of public banks in India, while cash deposit ratio (CDR) and Advances to Loan Funds (ALF) increased the effectiveness of public banks. Under the total banks IEIE, CRDR reduced the profitability, on the other side, CDR, ALF and Total Debt to Owners Fund (TDOF) increased the profitability of total banks in India. Under the dependency of ROA, CRDR and TDOF reduced the return of private banks in India, while CDR, ALF and QR enhanced the profitability of private banks.

No variables found significant under public banks while taking ROA as a dependent variable. Under the overall banking data, CRDR reduced the profitability. On the other side, capital adequacy ratio and ALF increased the profitability of total banks in India. The findings of this study will support policy creators, financial executives and investors in constructing investment decisions.

This research proposes a framework to conceptualise the potential realm of data regarding shipping connectivity for application of data analytics which can be used to generate deeper insights with respect to the state of such linkages and potential areas for practical application.

The study method involved comprehensive presentation of different perspectives of assessing shipping connectivity and levels of data contained within container shipping services and proposed potential application to analyse profitability, performance, competitiveness, risk and environmental impact.

Advances in capabilities to handle large volumes of data offer scope for an integrated approach which utilises all available data from various stakeholders in analyses of liner shipping connectivity. Research shows how different types of data contained in container shipping services are related and can be organised for application of data analytics.

Research implications are offered to shipping lines, port managers and operators and policymakers.

This research presented a conceptual framework that captures the range of data involved in container shipping services and how data analytics can be practically applied in an integrated manner.

This paper is the first in literature to discuss in detail the different levels of data that reside within shipping services that constitute liner shipping connectivity for application of data analytics.

The purpose of this study is to develop an appropriate new product development (NPD) process of Company “T”, a medium-sized firm, by analyzing the existing NPD process and failure cases of the Company.

The proposed research framework is as follows: first, prospective studies of the NPD process are performed using the existing literature and preliminary references; second, comparative analysis between the current processes and a NPD process is performed; third, phase-based evaluations upon failed product cases are conducted with a NPD process so as to identify the abridged steps and root-causes of failures; finally, renewed priorities are set forth by utilizing the analytic hierarchy process analysis and questionnaire analysis upon the above identified causes of failures.

The resulting accomplishments include the establishment of NPD processes that resonates with the current states of Company “T”, which, in turn, ensures the increase of efficiency, the decrease in development duration and the strategy of capacity-concentration and priority-selection.

As Company “T”’s development process is outdated and products are developed without adequate market information research and feasibility analysis, the percentage of failed development project is as high as 87 per cent. Thus, this study aims to develop an appropriate NPD process of Company “T” by analyzing the existing NPD process and failure cases of the Company.

The study considers time-varying risk premium in investigating the capability of technical analysis (TA) to predict and outperform a buy–hold strategy in Bitcoin exchange rate returns.

The study tests the technical trading rule of fixed moving average (FMA) on daily actual and equilibrium returns of Bitcoin exchange rates. The equilibrium returns are computed using dynamic CAPM in conjunction with a VAR-MGARCH (1, 1) system. The empirical evaluation of the study uses a case study of four Bitcoin exchange rates (BTC/AUD, BTC/EUR, BTC/JPY and BTC/ZAR) for the period 19 June 2010 to 30 October 2020.

The findings are consistent with related studies in conventional foreign exchange markets that find TA to be profitable, especially in emerging markets. Nevertheless, the consideration of risk premium has the effect of reducing the abnormal returns. Also, further robust tests reveal that Bitcoin returns possess a momentum effect which prompts further study in efficient market hypothesis research.

The empirical findings of this study should benefit portfolio managers and active investors on the strength of TA to predict returns in a speculative market like the Bitcoin exchange rate market.

The study takes cognisance that cryptocurrency trading is speculative in nature which renders it a good candidate for TA methods. While there are studies that have explored the value of TA in Bitcoin exchange rates, these studies fail to incorporate the effects of time-varying risk premiums, the strength and focus of the current paper.

The purpose of this study is to investigate the relationship between the listed firms' debt level and performance on the Pakistan Stock Exchange (PSX) during a five-year period.

This study uses pooled ordinary least squares regression and fixed- and random-effects models to analyse a cross-sectional sample of 30 Pakistani companies operating in the automobile, cement and sugar sectors during 2013–2017 (N = 150).

The results indicate that both short- and long-term debt have negative and significant impacts on firm performance in profitability. This suggests that agency issues may lead to a high-debt policy, resulting in lower performance. However, both sales growth and firm size have positive effects on the profitability of non-financial sector companies.

This study suggests that when debt financing significantly and negatively influences firm profitability, company owners and managers should focus on finding a satisfactory debt level. However, this study is limited to the automobile, cement and sugar sectors of Pakistan. Future studies could address other sectors, such as textiles, fertilizers and pharmaceuticals.

This study focusses on enhancing the existing empirical knowledge of debt financing's influence on the PSX's major sectors' profitability.

The purpose of this study is to review the empirical studies that have focused on the adoption, benefits and contingencies of strategic management accounting (SMA) practices and the effects of adoption on firm performance.

The study has highlighted empirical studies conducted on SMA practices in the context of both developed [1] and developing economies. In reviewing the literature, the study focuses on the findings of developed economy separately from that of developing economy to get more insight into the differences in the practices of the two set of economies. Based on the review, avenues for future research studies are outlined.

The review of extant literature reveals that several SMA techniques such as competitor accounting, strategic pricing, benchmarking and customer accounting have been highly or moderately adopted in several developed countries while majority of other techniques remained at the bottom line of the adoption status. However, the review demonstrates substantial differences in the SMA practices between the two set of economies in terms of the level of adoption, contingent factors and the effects of adoption.

The study attempts to focus on empirical studies that have concentrated exclusively on SMA practices. The adoption status, benefits derived, contingent factors affecting the adoption decision and the effect of adopting a package of SMA techniques on several aspects of firm performance are presented in the context of both developed and developing economies.

The United States (US) sugar program protects domestic sugar farmers from unrestricted imports of heavily-subsidized global sugar. Sugar-using firms (SUFs) criticize that program for causing US sugar prices to be higher than world sugar prices. This study examines the financial performance of publicly traded SUFs to determine if they are performing at an economic disadvantage in terms of accounting profitability, risk and economic profitability compared to other industries.

Firm-level financial accounting and market data from 2010 to 2019 were utilized to construct financial metrics for publicly traded SUFs, agribusinesses and general US firms. These financial metrics were analyzed to determine how SUFs compare to their agribusiness peer group and general US companies. The comprehensive financial analysis in this study covers: (1) accounting profit rates, (2) drivers of profitability, (3) economic profit rates, (4) trend analysis and (5) peer comparisons. Quantile regression analysis and Wilcoxon–Mann–Whitney statistics are employed for statistical comparisons.

Regarding various profitability and risk measures, SUFs outperform their agribusiness peers and the general benchmark of all US firms in terms of accounting profit rates, risk levels and economic profit rates. Furthermore, compared to other US industries using the 17 French and Fama classifications, SUFs have the highest return on investment and economic profit rate―measured by the Economic Value Added® margin―and the second-lowest opportunity cost of capital, measured by the weighted average cost of capital.

This study finds nothing to suggest that the US sugar program hinders the financial success of SUFs, contrary to recent claims by sugar-using firms. Notably in this analysis is the evaluation of economic profit rates and a series of robustness techniques.

Financing is one of the main activities and a major source of revenue for Islamic Cooperatives. This study aimed to analyze the effect of capital structure, third party funds and non-performing financing to the finance portfolio as well as to analyze the effect of capital structure, deposits, non-performing financing and the distribution of funding to profitability. The analysis technique used is multiple regression analysis, using F test and t test. The results of the analysis showed that the capital structure, third party funds and non-performing financing significantly effect on the distribution of funding. Capital structure, third party funds, and the distribution of funding has a significant effect on profitability, Sharia Cooperative BMT in Indonesia. While non-performing financing does not affect the profitability of Islamic Cooperative Baitul Maal Tamwil in Indonesia.