scholarly journals Multilingual and multicultural managers’ effects on team performance: insights from professional football teams

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mike Szymanski ◽  
Ilan Alon ◽  
Komal Kalra
Keyword(s):  
Team Performance ◽  
Individual Characteristics ◽  
Least Square ◽  
Data Set ◽  
Content Type ◽  
Ordinary Least Square ◽  
Multilingual Communication ◽  
Two Samples ◽  
Diverse Environment ◽  
Ordinary Least Square Regression

Purpose In this study, micro-foundations of strategy as the theoretical framework to study the effect of managers’ individual characteristics on multinational team performance are adopted. In particular, the purpose of this paper is to study managers’ multilingual communication abilities and multicultural background, and their role in, respectively, effectively reconfiguring team human assets and sensing cognitively distant opportunities and threats. Design/methodology/approach This study uses national football teams competing in national and international competitions and their coaches’ characteristics as the data set to test the theory. Using random coefficient modeling and ordinary least square regression, this paper analyzes two samples of 222 and 79 teams and found that both these characteristics contribute to team performance; however, their effects differ depending on the team environment. Findings Multicultural managers contribute positively to team performance only when the team is operating in a highly diverse environment, their effect is not statistically significant in homogeneous environments. In less diverse environments, it is the multilingual manager who can improve team performance through more efficient communication and greater effects of leadership on the team. Originality/value Managers’ characteristics such as their multicultural background and multilingual capabilities affect team performance. In particular, these effects come into play in highly diverse and international settings. Micro-foundation literature is advised to focus on the internationalization and multicultural backgrounds of managers as a precursor for organizational international performance.

Tacit knowledge transfer in coopetition

2017 ◽  
Vol 10 (4) ◽  
pp. 453-468 ◽  
Author(s):  
Amit Kumar ◽  
Swarup Kumar Dutta
Keyword(s):  
Knowledge Transfer ◽  
Tacit Knowledge ◽  
Least Square ◽  
Service Firms ◽  
Content Type ◽  
Ordinary Least Square ◽  
Tacit Knowledge Transfer ◽  
Potential Benefits ◽  
Ordinary Least Square Regression ◽  
Empirical Context

Purpose The purpose of this paper is to understand how firms affiliated to business groups (BGs) are able to improve their innovation capability (IC) when engaged in coopetition (collaboration between competing firms). This study aims to explore the relationship between coopetitive relationship strength (CRS), the extent of tacit knowledge transfer (TKT) and IC as well as examine the moderating effect of both BG affiliation and coopetitive experience. Design/methodology/approach The paper examines inter-firm relationships within the empirical context of Indian manufacturing and service firms, by adopting (ordinary least square) regression analysis to test the various hypotheses. The central thesis is that the TKT in coopetition constitutes an important driver to the IC. Findings The paper provides some evidence that inter-firm CRS influences the extent of TKT, and the extent of TKT affects firm IC. The results support that firms in coopetition gain more if their coopetitive partner has a BG affiliation. In absence of a BG affiliation of any of the coopetitive partners, the buildup of TKT reduces as CRS is increased. Research limitations/implications Additional large-sample of data may attempt to validate relationships. The study, however, did not consider all enablers that are critical for TKT. Despite these limitations, analysis provides important and novel perspectives. Practical implications The paper contributes to develop executives’ practices in understanding potential benefits of coopetitive relationship. The implications of this research are important for managers seeking understanding of the management of coopetition. Originality/value The paper makes a modest attempt to investigate the various scenarios of the presence or absence of the moderation of BGs and its impact on CRS in the buildup of TKT. This is the first attempt to link coopetition to the TKT in the BG literature. This study also contributes to our understanding of coopetition in a non-western context.

Users’ perception of cybersecurity, trust and cloud computing providers’ performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongjiang Xu ◽  
Sakthi Mahenthiran
Keyword(s):  
Cloud Computing ◽  
Structural Equation ◽  
Design Methodology ◽  
Positive Relationship ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Ordinary Least Square ◽  
Ordinary Least Square Regression ◽  
Computing Literature

Purpose This study aims to develop a scale to measure the cloud provider’s performance and it investigates the factors that impact that performance from the users’ perspective. Design/methodology/approach This paper proposes a research framework, develops hypotheses and conducts a survey to test the framework. Findings The results from both ordinary least square regression and structural equation modeling analyzes indicate that information technology complexity negatively and significantly affects users’ perception of the cloud computing providers’ performance. Additionally, the trust in the supervisor significantly enhances the otherwise insignificant positive relationship between providers’ cybersecurity capability and users’ perception of their providers’ performance. Originality/value The research makes important contributions to the cloud computing literature, as it measures users’ perception of the cloud computing provider’s performance and links it with cybersecurity, technical complexity and incorporates both the trust in the client firm’s supervisor and the strength of cybersecurity offered by cloud computing provider.

Price premium of private placement: evidence from India

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Supriya Katti ◽  
Naval Verma ◽  
B.V. Phani ◽  
Chinmoy Ghosh
Keyword(s):  
Emerging Market ◽  
Least Square ◽  
Price Premium ◽  
Group Affiliation ◽  
Data Set ◽  
Content Type ◽  
Equity Issues ◽  
Private Placement ◽  
Ordinary Least Square Regression ◽  
Binary Probit

PurposeThis study identifies the factors responsible for obtaining price premium on privately placed equity in a developing market.Design/methodology/approachWe examine a unique data set of a special case of private placement of equity, Qualified Institutional Placement (QIP) in India purchased at a premium. The study analyzed 188 equity issues offered between September 2006 and December 2014. On average, we find that QIP issues received a price premium of 4.38%. The study employed binary probit and ordinary least square regression models to analyze the probability and magnitude of the premium.FindingsThe study attributes the price premium of QIP to certification effect through group affiliation, signaling through promoters' ownership and monitoring effect through existing institutional investors. These factors influence the probability of premium for QIP issues. However, group affiliation and institutional ownership do not significantly influence the magnitude of the premium.Originality/valueThe private placement of equity is usually offered at a discount. Our findings contribute to the existing literature by evaluating the premium obtained on private placement as a unique scenario in emerging market supported through certification hypothesis, monitoring hypothesis and signaling.

Evaluating the worth of nascent old vine cues for South African wines

2019 ◽  
Vol 32 (2) ◽  
pp. 283-300
Author(s):  
David Priilaid ◽  
Jonathan Steyn
Keyword(s):  
South African ◽  
Hedonic Pricing ◽  
Least Square ◽  
Data Set ◽  
Content Type ◽  
Ordinary Least Square ◽  
Extrinsic Cues ◽  
Pricing Theory ◽  
Grape Varieties ◽  
Marketing Material

Purpose In increasingly competitive markets, opportunities exist to meaningfully differentiate product offerings by cue signalling the claims of emergent categories. Therefore, and within the context of wine sales, the purpose of this study models the supply-led price importance of nascent, extrinsic old vine (OV) cues for South African wines to establish whether to what extent and how producers prioritise such nascent cues relative to more established extrinsic cues of worth. Design/methodology/approach A data set was compiled of 159 South African wines with OV category cues signalled on front labels, back labels or via marketing material. The play of contending cue variables was computed through an ordinary least square hedonic pricing model. Findings In addition to the contribution of established cues such as aggregated critic ratings, grape varieties and area of origin, this study confirms that vineyard age contributes significantly to wine price, particularly when signalled on back labels. Practical implications In price setting and positional models, such as brand extensions, the findings prove useful in understanding the inherent value of nascent cues and specifically vineyard age, relative to competing established wine cues of worth. Originality/value This study extends the wine pricing theory by validating the viability of nascent OV cues in the modelling of a wine’s value.

scholarly journals The performance of Shariah-compliant companies during and after the recession period – evidence from companies listed on the FTSE All World Index

2020 ◽  
Vol 11 (3) ◽  
pp. 573-587 ◽  
Author(s):  
Muhammad Tahir ◽  
Salma Ibrahim
Keyword(s):  
Least Square ◽  
Market Returns ◽  
Content Type ◽  
Return On Equity ◽  
Ordinary Least Square ◽  
Price Earnings Ratio ◽  
Negative Effect ◽  
Ordinary Least Square Regression ◽  
Positive Effect ◽  
Recession Period

Purpose The purpose of this study is to investigate the relative performance of Shariah-compliant companies (SCCs) compared to conventional companies. This study focuses on two periods, the first being the recession period of 2007-2010 and the second, the non-recession period of 2011-2014. Design/methodology/approach A quantitative approach is adopted using an ordinary least square regression model. The chosen variables are those used by previous researchers in conventional studies of corporate performance. Data are selected from individual companies listed on the FTSE All World Index. This study examines two periods of time: the recession of 2007-2010 and the post-recession years of 2011-2014 to analyse performance measured by accounting returns (return on equity, return on asset and earnings per share) and market returns (stock return and price/earnings ratio). Findings The study found that SCCs outperformed non-Shariah compliant companies, in terms of both accounting and market returns during both periods. It was also found that size has a negative effect on performance during both periods. The degree of risk, leverage and growth has no significance in either period, but cash flow from operations has a positive effect on performance in both. Research limitations/implications The study could beneficially be extended by the inclusion of corporate governance variables to assess how these affect performance in SCCs. Originality/value In contrast to previous research carried out on indices, this study uses data from individual companies listed on the FTSE All World Index. It provides insight into the way Shariah ethics can influence performance and suggests that some of the features could be useful if adopted by conventional companies.

scholarly journals Forecasting Performance of Commercial Property Investments in Lagos Metropolis

2020 ◽  
Vol 5 (2) ◽  
pp. 59-74
Author(s):  
Obinna Umeh ◽  
◽  
Chibuikem Adilieme ◽  
Keyword(s):  
Poor Performance ◽  
Least Square ◽  
Property Market ◽  
Data Set ◽  
Commercial Property ◽  
Ordinary Least Square ◽  
Property Data ◽  
Simple Regression Model ◽  
Ordinary Least Square Regression ◽  
Victoria Island

Investors rely on statistical forecasts to guide their investment decisions. Given the relative opportunity cost associated with these decisions, and the huge financial implication of commercial property investments, such insights are invaluable; because investors can choose investments from an informed position. Despite this recognised benefit of forecasting, there has been little focus on forecasting the performance (total returns) of commercial property investments in Lagos Metropolis. This paper, therefore, aims to forecast the total returns of two commercial property investment types (shops and offices) in five sub-markets (Yaba, Ikeja, Ikoyi, Victoria Island and Lagos Island) within the Lagos property market. In doing so, the study uses longitudinal data for the capital and rental values of commercial property investments in Lagos between 2006 to 2018 alongside a simple regression model for 2019-2021 predicted total returns. Autocorrelation was used in testing the predictive validity of this data set. Furthermore, multiple-forecasts were evaluated simultaneously for accuracy and, together, they illustrate the difficulty of compiling a robust dataset in the absence of a central database. This paper suggests that the sampled total returns for the five sub-markets fluctuate and tend to decline as seen in the Ordinary Least Square Regression technique for 2019 to 2021. The results also suggest a low autocorrelation in most of the sub-markets, which indicates that the observed pattern of returns may not continue. This paper recommends that investors be wary of commercial property investment in Lagos Metropolis, due to the observed poor performance (low and fluctuating total returns). It is also recommended that a property database be constructed to improve property data reliability and allow for the application of complex quantitative forecasting techniques.

Political connections and audit report lag: Indonesian evidence

2018 ◽  
Vol 26 (1) ◽  
pp. 59-80 ◽  
Author(s):  
Ahsan Habib ◽  
Abdul Haris Muhammadi
Keyword(s):  
Large Body ◽  
Least Square ◽  
Political Connections ◽  
Audit Report ◽  
Financial Reports ◽  
Content Type ◽  
Related Party Transactions ◽  
Ordinary Least Square ◽  
Ordinary Least Square Regression ◽  
The Impact

Purpose This paper aims to investigate the association between political connections and the audit report lag and whether related party transactions moderate the association between the two. Design/methodology/approach An ordinary least square regression is estimated whereby audit report lag is regressed on political connections, related party transactions and the interaction between the two. Data on the number and amounts of RPTs are hand-collected from audited financial reports. A firm-year observation is politically connected if at least one large shareholder (controlling at least 10 per cent of the votes directly or indirectly) or board member or commissioner is a current or former Member of Parliament, a minister or head of local government or closely related to a politician or party. Findings Findings show that the audit report lag is relatively short for politically connected firms but increases when such firms conduct both operating and loan-type related party transactions. This suggests that auditors understand the incentives for, and the implications of, related party transactions and hence exert additional audit efforts in scrutinizing financial statements: activities that will increase the audit report lag. Originality/value Although a large body of empirical research exists on the determinants of audit report lag, none has examined the impact of political connections. This paper further contributes to the auditing literature by documenting auditors’ evaluation of related party transactions in a developing country.

Remittances and households’ savings behaviour in Bangladesh

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sarah Salahuddin ◽  
Muhammad Mehedi Masud ◽  
Kwek Kian Teng
Keyword(s):  
Regression Analysis ◽  
National Level ◽  
Least Square ◽  
Pension Scheme ◽  
Analysis Method ◽  
Content Type ◽  
Ordinary Least Square ◽  
Least Square Regression ◽  
Ordinary Least Square Regression ◽  
The Impact

Purpose The purpose of this study is to examine the impact of remittance inflow on households’ savings behaviour in Bangladesh. Remittances are considered as the countercyclical flow of income for its recipient economies. It surges the liquidity of the households receiving remittances, allows them to endure local economic shocks and facilitates them to practice productive activities. Remittances often form a big pool of resources for investment which complement the national savings and support the country’s growth through higher rates of capital accumulation. Therefore, if a significant portion of the remittance is used for savings it can lead to prominent economic growth in the long term. Design/methodology/approach Existing literature indicates remittance-receiving households have a greater propensity to use remittance income to meet basic consumption. However, based on the survey conducted by the Bangladesh Bureau of Statistics on remittances and household savings (SIR, 2016) and using the ordinary least square regression analysis method, to identify the connection between remittances and household’s saving (SIR, 2016) and using the ordinary least square regression analysis method, to identify the connection between remittances and household’s savings behaviour in Bangladesh. Findings The findings of this study represent remittances encourage households to pursue different kinds of savings in Bangladesh. Savings are made in the form of opening savings accounts, deposit pension scheme/fixed deposits/Bonds, insurance policies, also savings through non-governmental organizations, cooperative societies and savings at home. Other than remittances the demographic characteristics of the household head also influence the savings choices. Originality/value To enable the implementation of appropriate policies to boost savings, analysis from both perspectives; the household and the national level, requires strong vigilance and surveillance.

The effect of audit committee characteristics on forward-looking disclosure

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamad Rifai ◽  
Sylvia Veronica Siregar
Keyword(s):  
Audit Committee ◽  
Stock Exchange ◽  
Least Square ◽  
Content Type ◽  
Ordinary Least Square ◽  
Financial Firms ◽  
Financial Expertise ◽  
Ordinary Least Square Regression ◽  
Accounting Expertise ◽  
Forward Looking

Purpose This study aims to examine the effect of the audit committee characteristics on forward-looking disclosure. Design/methodology/approach The characteristics of audit committee that examined are audit committee expertise, audit committee meeting frequency and audit committee size. To measure the extent of forward-looking disclosure, this study did content analysis using a checklist of 22 forward-looking items. The samples of this research are 285 non-financial firms listed on the Indonesia Stock Exchange in the year 2015. Ordinary least square regression is used for hypotheses testing. Findings The results of this study show that the audit committee accounting expertise, audit committee financial expertise, the frequency of audit committee meetings and the size of the audit committee have a significant positive effect on the forward-looking disclosure. Originality/value To the best of the authors’ knowledge, this is the first study examining the audit committee characteristics on forward-looking disclosure in the context of Indonesia, one of the emerging markets.

Turn-of-the-month effect in three major emerging countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Geeta Singh ◽  
Kaushik Bhattacharjee ◽  
Satish Kumar
Keyword(s):  
Stock Markets ◽  
Emerging Market ◽  
Emerging Countries ◽  
Least Square ◽  
Content Type ◽  
Ordinary Least Square ◽  
Market Participants ◽  
Emerging Stock Markets ◽  
Ordinary Least Square Regression ◽  
The Times

PurposeThe purpose if this paper is to examine the turn-of-the-month effect in the equity market of three major emerging countries – Brazil, India and China – from January 2000 to December 2017.Design/methodology/approachOrdinary least square regression analysis is used to examine the presence of the turn-of-the-month effect and to test the efficiency of the emerging stock markets. The characteristics of the returns during the turn-of-the-month days are compared with that of the non-turn-of-the-month trading days.FindingsThe average returns during turn-of-the-month days for all the considered emerging market indices are significantly higher than the non-turn-of-the-month days for the full sample. For the subsample analysis, the average returns for Brazil and India for pre-GFC period are higher on the turn-of-the-month days than on the non-turn-of-the-month days. However, the effect disappears in China during the GFC period. During the crisis period, the results show that the turn-of-the-month effect disappears in Brazil and India, whereas for China, the effect is significant. For the post-GFC period, the-turn-of-the-month effect reappears for all the countries.Practical implicationsThe results have important implications for both traders and investors. The authors’ results indicate that the market participants can time the stock markets of these countries by taking long positions especially during the times when the turn-of-the-month effect is highly significant.Originality/valueTo the best of the authors’ knowledge, this paper is the first to study the turn-of-the-month effect, in the key emerging countries such as Brazil, China and India. Second, the authors divide the sample into three subperiods based on the 2008 GFC such as pre-GFC, GFC and post-GFC to understand the dynamic behavior of turn-of-the-month effect over time. Most importantly, the authors control for the day-of-the-week effect while examining the turn-of-the-month effect.

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