管理学最新文献

Disruptive shifts in the current environment are engendering uncertainty, radically changing market relationships and consumers’ priorities. This challenging-the-boundaries article introduces a new marketing paradigm, Godfather Marketing, according to which firms evolve into organizations reminiscent of ‘mafia families,’ yet completely devoid of criminal connotations. Their aim is to deeply fulfill customer needs and desires through favors, not just product sales. This approach requires customers to adhere to a mutual ‘code of honor,’ where merit is rewarded and wrongdoing punished, participating in the firm’s favor exchange network. Through a theoretical approach grounded in historical cultural factors, this article explores firm credibility, favor conditions, reciprocation methods, customer traits, and organizational dynamics. In an era where the quality of information will supersede its quantity, Godfather Marketing offers a distinct perspective, giving marketers a competitive edge for fostering consumer loyalty and local policymakers a potential tool for community governance, within a shared framework of careful controls ensuring the protection of individual freedoms.

In recent years, there has been a growing interest in the measurement of research performance. These studies evaluate a country or groups of countries according to their research performance and make some inferences to improve their performance. This study analyses the research performance of Turkish higher education, which aims for higher positions in international rankings, in the context of publication productivity, impact and collaboration with data based on Web of Science and comprehensive indicators for the years 1980–2022. In addition, research area-based analyses were also made. In this way, by presenting Türkiye’s performance from past to present in a comprehensive manner, rich information has been provided to policy makers, decision makers, and practical implications have been made for the improvement of performance. According to the results of the study, Türkiye has been faced with low productivity for many years. Both the area-based analyses and the results for the overall publication impact revealed that although there has been an increase in publication impact in recent years, Türkiye’s publication impact has performed below the world average in all years examined. The results indicated that Turkish higher education has some problems in terms of quality. As for research collaboration, the results showed that Türkiye gives more importance to domestic collaborative publications rather than international collaboration, while industry collaboration continues to remain in the background. Based on the results of the study, practical implications for policy makers and decision makers were made.

Purpose

Although the importance of high-performance work practices to foster individual-level outcomes is well documented, how team-level perception of HPWPs impacts team-level outcomes is not well researched, particularly in the hospitality sector. To fill this research gap, the role of team-level perception of HPWPs in fostering team engagement through team psychological capital is investigated.

Design/methodology/approach

A survey was conducted using a structured questionnaire.

Findings

The study findings suggest that in the presence of HPWPs, front-line service employees have high psychological resources and are more engaged in performing their organizational tasks.

Originality/value

The hotel management should benefit from high-performance work practices to enhance employees' attachment with their service organizations for exhibiting work engagement.

Purpose

This study aimed to examine the correlation between authentic leadership and career competence, exploring the mediating roles of tacit knowledge sharing and employee service innovative behavior.

Design/methodology/approach

Data were collected using convenience sampling and a time-lagged design from the Pakistani banking sector. The time-lagged design was employed to gather data at two different points in time. SPSS statistical software was used for descriptive analysis, and hypotheses were tested using Mplus.

Findings

The results demonstrate that authentic leadership has a significant positive impact on tacit knowledge sharing. This knowledge sharing, in turn, positively impacts employee service innovative behavior, which subsequently enhances career competence. Furthermore, tacit knowledge sharing mediates the relationship between authentic leadership and employee service innovative behavior.

Social implications

This study has social implications for organizations aiming to align their inclusive goals with societal needs. The findings can help foster a culture of knowledge sharing, thereby contributing to societal innovation.

Originality/value

This study provides valuable insights into how authentic leadership contributes to career competence, thus enriching the existing literature on this topic.

Objectives: To improve firearm injury encounter classification (new vs follow-up) using machine learning (ML) and compare our ML model to other common approaches.

Materials and methods: This retrospective study used data from the St Louis region-wide hospital-based violence intervention program data repository (2010-2020). We randomly selected 500 patients with a firearm injury diagnosis for inclusion, with 808 total firearm injury encounters split (70/30) for training and testing. We trained a least absolute shrinkage and selection operator (LASSO) regression model with the following predictors: admission type, time between firearm injury visits, number of prior firearm injury emergency department (ED) visits, encounter type (ED or other), and diagnostic codes. Our gold standard for new firearm injury encounter classification was manual chart review. We then used our test data to compare the performance of our ML model to other commonly used approaches (proxy measures of ED visits and time between firearm injury encounters, and diagnostic code encounter type designation [initial vs subsequent or sequela]). Performance metrics included area under the curve (AUC), sensitivity, and specificity with 95% confidence intervals (CIs).

Results: The ML model had excellent discrimination (0.92, 0.88-0.96) with high sensitivity (0.95, 0.90-0.98) and specificity (0.89, 0.81-0.95). AUC was significantly higher than time-based outcomes, sensitivity was slightly (but not significantly) lower than other approaches, and specificity was higher than all other methods.

Discussion: ML successfully delineated new firearm injury encounters, outperforming other approaches in ruling out encounters for follow-up.

Conclusion: ML can be used to identify new firearm injury encounters and may be particularly useful in studies assessing re-injuries.

Downside risk measures, such as semivariance, are essential for evaluating investment risk. Focusing on semivariance allows investors to emphasize loss mitigation without considering upside volatility as risk. However, minimizing the semivariance of a portfolio is an analytically intractable and numerically challenging problem due to the endogeneity of the parameters in the semicovariance matrix. We introduce a methodology for consistent estimation of the portfolio semivariance based on a smooth approximation of the empirical semicovariance matrix. Differently from existing methods, the new estimator does not rely on biased surrogate semicovariance models and enables the treatment of large problems with many assets. The extent of smoothing is determined by a single tuning constant, which allows our method to span an entire set of optimal portfolios with limit cases represented by the minimum semivariance and the minimum variance portfolios. The methodology is implemented through an iteratively reweighted algorithm, which is computationally efficient for high-dimensional problems with many assets. Our numerical studies confirm the theoretical convergence of the smoothed semivariance estimator to the traditional sample semivariance. The resulting minimum smoothed semivariance portfolio performs well in- and out-of-sample compared to other popular selection rules.