The Effectiveness of Job Rotation in Enhancing Knowledge Accumulation - A Field Study of the Opinions of a Sample of Employees at Al-Kitab University

The study aims to examine the effectiveness of job rotation in enhancing the knowledge accumulation of workers' opinions at the Iraqi Al-Kitab University by measuring the impact and testing the relationship between job rotation and knowledge accumulation. 62 valid questionnaires were distributed. The study used the statistical program (SPSS) to prove the validity of the research hypotheses related to the correlation and influence between the two research variables (functional rotation, knowledge accumulation). The findings revealed a positive moral correlation between the combined job rotation and the combined knowledge accumulation of the university under study in terms of its variables according to the value of the correlation coefficient at the aggregate level. Some recommendations related to the results of the research were made, the most important of which were: the necessity of developing and pumping new blood into the university, helping the employee and the university to get out of the cycle of stagnation, and resisting the change caused by the belief that the job is the property of the employee.

Promoting Knowledge Accumulation About Intervention Effects: Exploring Strategies for Standardizing Statistical Approaches and Effect Size Reporting

Toward the goal of more rapid knowledge accumulation via better meta-analyses, this article explores statistical approaches intended to increase the precision and comparability of effect sizes from education research. The featured estimate of the proposed approach is a standardized mean difference effect size whose numerator is a mean difference that has been adjusted for baseline differences in the outcome measure, at a minimum, and whose denominator is the total variance. The article describes the utility and efficiency of covariate adjustment through baseline measures and the need to standardize effects on a total variance that accounts for variation at multiple levels. As computation of the total variance can be complex in multilevel studies, a shiny application is provided to assist with computation of the total variance and subsequent effect size. Examples are provided for how to interpret and input the required calculator inputs.

Scholar Entangled: The Unattainable Detachment in Social Inquiry

The practice of social studies continues to be a complicated scientific endeavor. From an epistemological point of view, the social sciences, unlike the natural sciences, do not conform to the predominant definition of science. The existing differences among expositions of “science,” “inquiry,” and “studies” lie with the contested role of the intellectual who is embarked on understanding the social realm. The “maturity” of the social sciences is usually discussed in the context of objectivity and rationality. But continuing epistemological debates would be insufficient without reference to the scholar as a human studying humans. The philosophy of science has focused mainly on the procedures of knowledge accumulation, neglecting social context and its implications for inquiry. To address this neglect, this essay sets out first to retrace doubts about the role of the scholar that emerged with the institutionalization of the social sciences at the outset of the twentieth century and then to rethink these issues in terms of recent scientific developments. What surfaces is a new, participatory role for scholars that demands responsible contextualization and a broader conception of causal stories.

Government R&D Investment, Knowledge Accumulation, and Regional Innovation Capability: Evidence of a Threshold Effect Model from China

Innovation is the primary driving force of development and the strategic support for building a modern economic system. For enterprises, continuous innovation capabilities can effectively deal with uncertainties in the business environment and can enhance business competitiveness. Macropolicies can stimulate economic development and can try to promote enterprise innovation, but there is still widespread debate in academia about whether these policies successfully promote or, in fact, inhibit innovation. Looking at the provincial panel data from China between 2009 and 2018, the authors of this paper explored the complex nonlinear mechanism of government R&D investment in driving regional innovation capabilities from the perspective of knowledge accumulation. The empirical results show that, when the level of knowledge accumulation is used as the threshold variable, there is an obvious threshold effect between government R&D input and regional innovation capabilities. As the level of knowledge accumulation crosses the threshold, the influence of government R&D investment on regional innovation capabilities undergoes a structural mutation, shifting from an insignificant inhibitory effect to a significant promotional effect. The above conclusion has strong robustness. This article provides useful policy enlightenment for China to promote the development of scientific and technological civilization and the construction of an innovative country.

Culturology: conceptual and categorical framework in the research process logic

The purpose of the article is to analyze the conditions and stages in the formation of the conceptual-categorical framework of cultural sciences. The methodology is based on general scientific approaches such as terminological and systematic. The purpose and objectives of the publication define the use of such research methods as analysis, synthesis, generalization, which made it possible to clarify the meaning of a number of concepts and terms. Scientific Novelty. The degree of scientific research of the topic is concentrated in identifying the problems of interaction between the conceptual and categorical frameworks in various scientific fields, namely, history, philosophy, philology, aesthetics, ethics, art history, and logic, to shape up the research space. We conceptualize the idea of "formal logical structures": that is not a mechanical combination of concepts or categories, but developing a new system adapted to solving theoretical problems of cultural studies. The question about the validity of the ―borrowing‖ process that allows cultural studies to analyze theoretical problems related to other humanitarian fields is also touched upon. Conclusion. So, among the other Ukrainian human sciences, cultural studies are developing quite actively and dynamically, constantly expanding its research space; its activity and dynamism of the cultural knowledge ―accumulation‖ determine those problems requiring special attention of modern scientists; in particular, the identification of the structural layering of the conceptual and categorical framework of cultural sciences.

Knowledge Accumulation, Privacy, and Growth in a Data Economy

We build an endogenous growth model with consumer-generated data as a new key factor for knowledge accumulation. Consumers balance between providing data for profit and potential privacy infringement. Intermediate good producers use data to innovate and contribute to the final good production, which fuels economic growth. Data are dynamically nonrival with flexible ownership while their production is endogenous and policy-dependent. Although a decentralized economy can grow at the same rate (but are at different levels) as the social optimum on the Balanced Growth Path, the R&D sector underemploys labor and overuses data—an inefficiency mitigated by subsidizing innovators instead of direct data regulation. As a data economy emerges and matures, consumers’ data provision endogenously declines after a transitional acceleration, allaying long-run privacy concerns but portending initial growth traps that call for interventions. This paper was accepted by Kay Giesecke, finance.

Mobile payment technology in hospitality and tourism: a critical review through the lens of demand, supply and policy

Purpose This study aims to offer a comprehensive review of mobile payment (m-payment) research in hospitality and tourism. Design/methodology/approach This study systematically reviews 105 m-payment-themed publications retrieved from five research engines including EBSCOhost, Google Scholar, Web of Science, ScienceDirect and Scopus. Content analysis is used to draw insights from the articles. Findings Results show that research on m-payment in hospitality and tourism is generally categorized into consumer, supplier and policy dimensions. This study proposes a framework to summarize the demand–supply research standpoints and conditions that qualify research outcomes while providing contemporary policy-related discussions. Four research priorities for future studies are recommended. Practical implications Knowledge accumulation and policy-related discussions identified in this study equip practitioners with the opportunities and challenges brought by m-payment. This study provides recommendations according to the factors that drive adoption of m-payment. Originality/value This study addresses the academic gaps by critically analyzing m-payment research in hospitality and tourism and identifying four research priorities for future studies.