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This study aims to extend the discussion on firm profitability to include handloom enterprises in India.

This study uses a random sample of 427 handloom microentrepreneurs from the Indian state of Assam. The seemingly unrelated regression model is used to determine the profitability drivers in India’s handloom enterprises.

The empirical results revealed that human, financial and social capital, along with their control variables such as information and communication technology, firm size and sales distribution, are the main drivers of profitability of Indian handloom enterprises.

To the best of the authors’ knowledge, this study is the first to offer an in-depth insight into what makes profitability in the handloom enterprises in India, the world’s second-largest reservoir of the handloom industry.

Today, the sustainability and outreach of microfinance institutions (MFIs) are crucial to the success of microfinance and the sector’s potential to make a lasting impact. The ability of MFIs to operate financially well without sacrificing their social goals has come under scrutiny. This study aims to identify the kind of relationships between the two objectives of MFIs in Ethiopia.

This study investigated the association between the outreach and financial sustainability of Ethiopian MFIs from the years 2012 to 2021 using a balanced set of panel data. The study used secondary data and employed a descriptive research design and a quantitative research approach. To this end, random and fixed effects estimation models, as well as three-stage least squares, with the model of seemingly unrelated regression (SUR) are used.

According to the study, outreach performance enables MFIs to achieve sustainability/financial performance. On the other side, MFI that are financially sound improve social performance. There was therefore no trade-off between the two objectives.

As Ethiopia’s microfinance sector shifts away from government and non-government backing and toward commercialization, such research is crucial. This aspect of the Ethiopian microfinance industry has gotten little consideration in research. The SUR model was used in the study together with random and fixed effect estimators, and the most reliable estimation result was chosen based on the necessary tests.

Public-private partnership (PPP) highway projects in India are undertaken at both state and national levels, such that differences exist in how the procuring authorities manage project risk during the development and construction phase under different institutional frameworks. This study assesses the performance implication of the different administrative positionings of the procuring authority.

A data set of 516 PPP highway projects implemented in India formed the basis of this study. Means comparison, ordinary least squares (OLS) regression and seemingly unrelated regression were used to assess the impact of procuring authority on schedule performance.

The findings suggest that the state and the national highway projects were no different in achieving financial closure. However, the administrative positioning of the procuring authorities had a significant impact on other schedule performance variables. The construction of the state highway projects started quickly after the financial closure compared to the national highway projects. Moreover, the state highway projects were not only planned to be implemented at a faster rate but they were actually implemented at a faster rate and had a lower time overrun.

Procuring authorities under the state governments, being closer to the project, are better placed to manage project risk than those under the national government.

The administrative distance of the procuring authority from the PPP project and its implication on performance has never been studied.

The aim of the present study is to examine the impact of human resource (HR) practices (human resource empowerment, organizational culture and transformational leadership) on innovation activities as well as the effect of innovation activities on perceived financial performance within sport services firms.

The proposed relationships were examined using empirical data from 172 managers of Greek sport services firms. Seemingly unrelated regression (SUR) analysis was used to investigate the role of human resource management (HRM) practices on innovation activities and whether innovation activities affected the perceived financial performance.

The results of the study indicated that HRM practices, such as human resource empowerment, organizational culture and transformational leadership, significantly impact innovation activities and subsequently innovation activities have a significant and positive effect on perceived financial performance as measured by satisfaction levels in relation to specific key performance indicators (KPIs) such as profit, ROI, sales volume and market share.

This study presents useful theoretical and managerial implications that can be used by sport service firms to assess the effects of HRM practices on innovation activities and perceived financial performance.

This study contributes to the literature on several merits. Firstly, the authors jointly estimate the impact of HRM practices on innovation and its concurrent effect on perceived financial performance, which is not methodologically considered before. Secondly, the authors incorporate a more thorough measure of perceived financial performance including four dimensions of performance, and finally the authors analyze a larger sample of sport services firms relative to previous studies, leading into more concrete conclusion on the research hypotheses.

While today's customer steadily adapts to various modes of shopping, their beliefs around fluency through each shopping channel, and personal factors such as income level, can impact their intention to patronage or purchase from omnichannel department stores. Hence, this study analysed the customers of omnichannel fashion department stores, using perceived fluency and income as indirect factors that help understand customers' patronage intention and purchase intention.

The overarching framework for this research is the theory of reasoned action, in which patronage and purchase intentions represent the specific likelihood-of-performance behaviours. A Seemingly Unrelated Regression model was empirically used to analyse the relationships between generational cohorts, income, and perceived channel fluency and the behaviours that lead to patronage intention and purchase intention. Researchers conducted a survey among 552 omnichannel fashion department store consumers to examine today's retail environment.

The results of this study suggest that (1) consumers between the ages of 50 and 69 years, including older Generation X and younger Baby Boomers, who earn between $60,000 and $79,999 in annual salary show a significantly positive relationship with both patronage and purchase intentions through perceived fluency and (2) consumers between the ages of 38 and 49 years, including older Millennials and younger Generation X, who earn between $80,000 and $99,999 in annual salary show a significantly positive relationship with purchase intention through perceived fluency

This study analyses correlations between a generational cohort, perceived fluency as moderated by income and the relationship between these variables and customers' patronage and purchase intentions, which has not been studied before.

The authors present a study of the short-term impact of the Russian–Ukrainian war on global equity returns. The study aims to show that the conflict was priced into markets and whether the intensity of the impact depends on economic factors, such as dependence on gas, or/and political factors, such as belonging to the former Soviet power circle.

Using the event study and a sample of 77 capital markets, accounting for over 99% of global capitalisation, the authors apply a system of seemingly unrelated regressions to the daily returns of the indices, isolating the short-term effect on the markets and finally apply cross-sectional methods to help determine the size and variability of the impact.

The authors show that the impact is concentrated around day zero but is relevant in the days before and after. In addition, the authors show that being in the Soviet orbit and NATO simultaneously, as well as having high gas consumption and importing gas from Russia were key factors for investors.

This study is the first to try to discern whether the impact on stock markets caused by the war in Ukraine is due to purely economic factors, especially energy, or whether there is also a geopolitical component. Specifically, whether the countries closest to Russia are being more threatened by the fact that they are closer to Russia.

Although past studies have suggested that business-to-business (B2B) interfirm relationship management contributes to a firm’s omnichannel integration, little research has been undertaken to reveal how that happens. This study aims to draw upon the relational view to propose a research model that associates interfirm information technology (IT) capability and interfirm trust with omnichannel integration through interfirm integration (i.e. authority integration and cooperative integration). Furthermore, this work considers a firm’s channel usage variety as the boundary condition of the interfirm integration’s influence.

The research model was examined using a seemingly unrelated regression of archival data and matched a survey of 324 Chinese omnichannel firms.

Interfirm IT capability positively relates to authority integration, and interfirm trust positively relates to cooperative integration. Authority integration and cooperative integration are both positively associated with omnichannel integration. A high level of channel usage variety strengthens the relationship between cooperative integration and omnichannel integration.

Prior literature has called for research on the factors influencing omnichannel integration within a B2B setting. This study answers this research call by examining interfirm IT capability, interfirm trust and interfirm integration as factors associated with omnichannel integration. This work also examines how channel usage variety regulates the relationship between interfirm integration and omnichannel integration.

Prior studies on the impact of incentives on physicians’ online participation mainly focused on different incentives while ignoring the difficulty of setting monetary incentives efficiently. Based on goal-setting theory, the current research examines the relationship between incentives with goals of varying difficulty and professional health knowledge sharing (PHKS) in online health knowledge-sharing platforms (OHKSPs).

Four field experiments with different monetary incentives were conducted by one of China’s largest OHKSPs, with whom the researchers cooperated in data collection. Monthly panel data on 10,584 physicians were collected from September 2018 to December 2019. There were 9,376 physicians in the treatment group and 1,208 in the control group. The authors used a difference-in-difference (DID) model to explore the research question based on the same control group and the Chow test with seemingly unrelated estimation (sureg) to compare regression coefficients between four groups. Several robustness checks were performed to validate the main results, including a relative time model, multiple falsification tests and a DID estimation using the propensity score matching method.

The results show that the monetary incentive significantly positively affected the volume of physicians’ PHKS directly with negative spillover to the duration of physicians’ PHKS. Moreover, the positive effect of incentives with higher difficulty on the volume of physicians’ PHKS was significantly smaller than that of incentives with low difficulty. Finally, professional title had a positive moderating effect on the volume of goal difficulty setting and did not significantly moderate the effect on the duration of physicians’ PHKS.

Some limitations of this study are: firstly, because the field experiments were enterprise benefit oriented, the treatment and control groups were not balanced. Secondly, the experiments for different incentive measures were relatively similar, making it challenging to validate a causal effect. Finally, more consideration should be given to the strategy for setting hierarchical incentives in future research.

The research indicates that monetary incentives have a bilateral effect on PHKS, i.e. a positive direct effect on the volume of physicians’ contributions and a negative spillover effect on the duration of physicians’ PHKS. The professional titles of physicians also moderate such bilateral switches of PHKS. Furthermore, when a physician’s energy is limited, the goal difficulty setting of the incentive mechanism tends to be low. The more difficult the incentives are, the more inefficient the effects on physicians’ PHKS will be.

A supplier may sell not only to one buyer (sole relationship configuration) but also to the buyers competitors (shared relationship configuration) for a specific product category. This study examines the performance implications when suppliers establish shared relationships with the buyer’s competitors.

Secondary data are used to test hypotheses relating a supplier’s relationship configurations to its operational performance. A seemingly unrelated regression approach (SUR) is applied to analyze the data, followed by endogeneity checks of the empirical findings.

The study shows that suppliers with less-shared ties with buying firms’ competitors exhibit superior inventory efficiency and asset turnover. Thus, suppliers can improve operational efficiency by creating relatively exclusive, deep and trust-based relations instead of more extensively shared and shallower relationships.

Based on agency theory as a theoretical lens and aerospace industry data, this research contributes by addressing the supplier’s perspective and linking its operational efficiency performance with its chosen supply relationship configuration.

Suppliers need to understand the performance implications of choosing relatively exclusive relationships versus shared relationships with buying firms. The research provides new insights for managers and can guide their supply chain decision-making.

Little is known about how a supplier’s relationship configurations can elevate, or impair, its operational efficiency. While conventional wisdom holds that suppliers should focus on multiple avenues of revenue growth by selling to buyers’ competitors, this study demonstrates that more sales to a buying firm’s rivals might, in fact, reduce a supplier’s efficiency.

Using various proxies for the firms' return on equity (ROE) and retention ratios (b) the authors calculate 36 sustainable growth rates, on a rolling basis, for a comprehensive set of firms over a 52-year period. The authors then assess the ability of these different sustainable growth rates to predict the actual, out-of-sample, five-year growth rates of the firms' earnings.

The authors compare the forecast to determine which method of estimating ROE and b produce the lowest mean-squared-errors and then determine the estimation method that works best for firms with different characteristics and for firms in different industries.

Overall, using the median ROE of all firms in the market and the 5-year average of the specific firm's retention ratio produces the lowest, statistically significant, forecast errors. Variations are documented based on firm characteristics, including dividend payout, level of ROE and industry.

The findings can guide practitioners in using the best earnings forecasting method.

Financial textbooks seem universally to suggest that one method of estimating the growth rate of a firm's earnings is to calculate the “sustainable growth rate” by multiplying the firm's ROE by the firm's b. At the same time, multiple methods of proxying for both ROE and b have been suggested; therefore, it is an interesting and useful empirical question, which, heretofore, has not been addressed in the literature, as to which estimation of the sustainable growth rate best approximates the actual future growth of the firm's earnings. The findings can guide practitioners in using the best earnings forecasting method.