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 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.

Foreign direct investment and economic growth nexus in Africa

2019 ◽  
Vol 11 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Edmond Hagan ◽  
Anthony Amoah
Keyword(s):  
Economic Growth ◽  
Financial Market ◽  
Positive Impact ◽  
Least Square ◽  
African Countries ◽  
Data Set ◽  
Content Type ◽  
Ordinary Least Square ◽  
Variable Approach ◽  
Time Period

Purpose African countries are generally fragile. This and other related characteristics affect the potential for growth and development. The purpose of this paper is to investigate whether the effect of FDI on economic growth is contingent on a financial system that accounts for financial market fragility. An important point of departure from earlier studies is the adoption of a new measure of financial market fragility. Design/methodology/approach Given the uniqueness of the data set, the study uses a panel data and estimates an econometric model using an instrumental variable approach. For robustness purposes, a pooled ordinary least square is also estimated. Findings The study provides evidence that if the financial market is fragile as in the case of Africa, FDI inflows may have a marginally significant positive impact on economic growth. The findings suggest that fragility in the financial market is a key absorptive capacity and cannot be trivialised when exploring FDI–growth nexus in Africa. Research limitations/implications The uniqueness of the data set limited the time period of the study. Nonetheless, the findings are still crucial to policy makers in Africa and other developing countries with similar characteristics. Originality/value To the best of the authors’ knowledge, this is the first study in Africa to investigate the FDI–growth nexus which accounts for financial market fragility.

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.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

Islamic calendar and stock market behaviour in India

2018 ◽  
Vol 45 (11) ◽  
pp. 1550-1566
Author(s):  
Dharani Munusamy
Keyword(s):  
Stock Market ◽  
Least Square Method ◽  
Least Square ◽  
Stock Market Returns ◽  
Content Type ◽  
Ordinary Least Square ◽  
Average Return ◽  
Year Effect ◽  
The Common ◽  
The Impact

Purpose The purpose of this paper is to examine the behavior of the stock market returns in the different days of the week and different months of the year in accordance with the Islamic calendar. Further, the study estimates the risk-adjusted returns to test the performance of the indices during the Ramadan and non-Ramadan days. Finally, the study investigates the impact of Ramadan on the returns and the volatility of the stock market indices in India. Design/methodology/approach Initially, the study applies the Ordinary Least Square method to test the day-of-the-week and the month-of-the-year effect of the common and Shariah indices. Next, the study employs the risk-adjusted measurement to examine the underperformance and over-performance of the indices for both the periods. Finally, the study estimates the GARCH (1,1) and GJR-GARCH (1,1) models to observe the impact of Ramadan on the returns and the volatility of the Shariah indices in India. Findings The study finds that an average return of the indices during the Ramadan days are higher than non-Ramadan days. Further, the average returns of the Shariah indices are significantly higher on Wednesday than other days of the week. In addition, the highest and significant mean returns and mean risk-adjusted returns of the indices during the Ramadan days are observed. Finally, the study finds an evidence of the Ramadan effect on the returns and volatility of the indices in India. Originality/value The study observes evidence that the Ramadan effect influences the Shariah indices, but not the common indices in the stock market of the non-Muslim countries. It indicates that the Ramadan creates the positive mood and emotions in the investors buying and selling activities. The study suggests that investors can buy the shares before Ramadan period and sell them during the Ramadan days to get an abnormal return in the emerging markets.

Predictors of self-legitimacy among military police officers in São Paulo, Brazil

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Viviane de Oliveira Cubas ◽  
Frederico Castelo Branco ◽  
André Rodrigues de Oliveira ◽  
Fernanda Novaes Cruz
Keyword(s):  
Police Officers ◽  
Sao Paulo ◽  
Least Square ◽  
São Paulo ◽  
Military Police ◽  
Content Type ◽  
Organizational Variables ◽  
Ordinary Least Square ◽  
The Public ◽  
The Military

PurposeThe authors examine predictors of self-legitimacy for police officers belonging to the Military Police force of São Paulo (Brazil). Considering the variables mobilized by the literature on self-legitimacy, the authors seek to identify what explains the self-legitimacy of militarized police officers.Design/methodology/approachA survey was applied to 298 frontline police officers in the city of São Paulo, analyzing indicators separated into two groups: relationship dimension and organizational dimension. An ordinary least square model is used to test the “relationship” and “organizational” variables on police officers' self-legitimacy.FindingsEffectiveness is the strongest predictor for self-legitimacy. Organizational justice and distributive justice also present important effects, as the perception of citizens' attitudes toward police reinforces the conception of self-legitimacy as a dialogical construct, comprising here the public's expectations of police work as well as the police officers' perceptions that they are respected and considered important by the public.Originality/valueThere are no other studies on self-legitimacy related to Brazilian police officers or exploring these aspects among police officers submitted to a militarized structure. These results contribute to the ongoing debate on the militarization of police activities and their possible effects on police legitimacy.

Which professional skills value more under digital transformation?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sofia Paklina ◽  
Elena Shakina
Keyword(s):  
Text Mining ◽  
Labour Market ◽  
Empirical Evidence ◽  
Labour Force ◽  
Sample Selection ◽  
Large Data ◽  
Hedonic Pricing ◽  
Data Set ◽  
Content Type ◽  
Computing Skills

PurposeThis study seeks to explore the demand side of the labour market influenced by the digital revolution. It aims at identifying the new composition of skills and their value as implicitly manifested by employers when they look for the new labour force. The authors analyse the returns to computing skills based on text mining techniques applied to the job advertisements.Design/methodology/approachThe methodology is based on the hedonic pricing model with the Heckman correction to overcome the sample selection bias. The empirical part is based on a large data set that includes more than 9m online vacancies on one of the biggest job boards in Russia from 2006 to 2018.FindingsEmpirical evidence for both negative and positive returns to computing skills and their monetary values is found. Importantly, the authors also have found both complementary and substitutional effects within and between non-domain (basic) and domain (advanced) subgroups of computing skills.Originality/valueApart from the empirical evidence on the value of professional computing skills and their interrelations, this study provides the important methodological contribution on applying the hedonic procedure and text mining to the field of human resource management and labour market research.

IPO valuation using the price-multiple methods: evidence from Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chui Zi Ong ◽  
Rasidah Mohd-Rashid ◽  
Kamarun Nisham Taufil-Mohd
Keyword(s):  
Initial Public Offerings ◽  
Stock Exchange ◽  
Least Square ◽  
Multiple Methods ◽  
Cross Sectional ◽  
Ols Regression ◽  
Content Type ◽  
Public Offerings ◽  
Ordinary Least Square ◽  
Valuation Method

Purpose This study aims to investigate the valuation accuracy of Malaysian initial public offerings (IPOs) by using price-multiple methods. Design/methodology/approach Cross-sectional data including 467 IPOs listed on the Malaysian stock exchange were used for the period of 2000–2017. This study used univariate ordinary least square (OLS) regression to analyse the relationship between IPOs’ price-multiples and comparable firms’ price-multiples. The test of valuation accuracy was conducted via computing valuation errors by segregating the sample into two groups: fixed-price IPOs and book-built IPOs. Furthermore, multiple OLS regression was used to examine the influence of IPO valuation on underpricing. Findings The findings of the results suggested that IPOs price-to-earnings (P/E), price-to-book (P/B) and price-to-sales (P/S) multiples were positively related to the median P/E, P/B and P/S multiples of five comparable firms matched by industry and revenues. The P/S multiple was shown to be the most significant valuation method, specifically in book-built IPOs. The findings indicated that those firms that had a lower valuation in comparison to the comparable firms were inclined to underprice their IPOs to allure investors to subscribe IPOs. In addition, book-built IPOs that had fair valuations were inclined to generate higher initial returns for investors. Practical implications The findings of this study observed implications for underwriters in avoiding the mis-valuation issue by considering the book-building mechanism. Originality/value This study attempted to explore the suitability of the valuation method to value IPOs in Malaysia.

Determinates of Islamic banks liquidity

2020 ◽  
Vol 11 (8) ◽  
pp. 1619-1632
Author(s):  
Ahmad Al-Harbi
Keyword(s):  
Monetary Policy ◽  
Deposit Insurance ◽  
Fixed Effect Model ◽  
Least Square ◽  
Data Set ◽  
Content Type ◽  
Effect Model ◽  
Ratio Size ◽  
Cross Country ◽  
The One

Purpose The purpose of this paper is to investigate the determinants of Islam banks (IBs) liquidity. Design/methodology/approach In this paper, the author uses a generalized least square fixed effect model on an unbalanced panel data set of all IBs operating in the Organization of Islamic Cooperation countries over the period 1989-2008. Findings The estimation results show that all the determinants have statistically significant relationships with IBs’ liquidity but with different signs. On the one hand, foreign ownership, credit risk, profitability, inflation rate, monetary policy and deposit insurance negatively affected IBs liquidity. On the other hand, capital ratio, size gross domestic product growth and concentration have a positive nexus with IBs’ liquidity. Originality/value According to the best of the author’s knowledge, this is the first empirical study to investigate the determinants of IBs liquidity using cross-country data with a large sample of IBs (110 banks) and over a long period (19 years). Also, the paper included variables that had not been discussed on the previous studies, which used cross-country data, such as efficiency, deposit insurance, monetary policy, concentration and market capitalization.

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