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Approximately 5 per cent of the non‐farm work force in the United States falls into the category of middle managers. The variations in titles and responsibilities in organizations make it difficult precisely to define middle managers; but they can generally be regarded as those who manage other managers and supervisors, and groups of primarily exempt employees. Thus at the lower limit for classification as a middle manager we would exclude first line supervisors of salaried clerical and hourly production employees. At the upper limit for classification as a middle manager we would exclude managers of business components who have profit and loss responsibility, functional and staff vice presidents, and all other executives in the hierarchy above those categories.

The concept of instructional leadership has been frequently discussed but rarely subjected to any rigorous analysis. In this paper four current views of instructional leadership—those of the principal as evaluator, helper, Integrator and designer—are examined and the assumptions about human nature, skills, and knowledge underlying each of these views are identified. Following a critique of these assumptions, the author describes a “principal‐as‐experimenter” role which he maintains is a viable notion of instructional leadership given the present state of knowledge and the organizational necessity for informed decision‐making.

Throughout America most managers complain about conducting performance appraisals. Most directors dread the time of the year when they must undergo increasingly strict and stressful reviews and then perform the same for their subordinates.

In many storybooks in the Philippines, the presence of a sibling is a commonplace in writing the child protagonist's world. More specifically, the kuya, which is the Filipino term for older brother, is a male character that can influence the child protagonists. In this chapter, my goal is to analyse the positionalities of the kuya as male characters in four storybooks from the Philippines that feature the bond between a younger child and the older brother/s. These storybooks are Salo-Salo Para Kay Kuya (A Feast for Big Brother), Sandosenang Kuya (A Dozen Big Brothers), Ang Kuya Kong Zombie (My Big Brother Zombie) and Ang Misteryo ng Patong-Patong na Damit ni Hulyan (The Mystery Behind Hulyan's Layered Clothes).

Through this chapter, I aim to theorise the roles that male characters play vis-à-vis their relationships with their younger siblings. The male characters' narrative journeys, character developments and roles in the context of the story are analysed through what Michael White calls ‘subordinate storylines’, which is character information that cannot be accessed by mere conversation among children. Thus, in the chapter, I investigate the values; intensions; knowledge and skills; and social, relational and cultural genesis of the male characters vis-à-vis the narratives and their interplay with the child protagonists in the story.

Justice rules are standards that serve as criteria for formulating fairness judgments. Though justice rules play a role in the organizational justice literature, they have seldom been the subject of analysis in their own right. To address this limitation, we first consider three meta-theoretical dualities that are highlighted by justice rules – the distinction between justice versus fairness, indirect versus direct measurement, and normative versus descriptive paradigms. Second, we review existing justice rules and organize them into four types of justice: distributive (e.g., equity, equality), procedural (e.g., voice, consistent treatment), interpersonal (e.g., politeness, respectfulness), and informational (e.g., candor, timeliness). We also emphasize emergent rules that have not received sufficient research attention. Third, we consider various computation models purporting to explain how justice rules are assessed and aggregated to form fairness judgments. Fourth and last, we conclude by reviewing research that enriches our understanding of justice rules by showing how they are cognitively processed. We observe that there are a number of influences on fairness judgments, and situations exist in which individuals do not systematically consider justice rules.

It aims to understand crowdfunding’s effect on women’s entrepreneurship and summarize key findings, methods, and challenges women face in using crowdfunding for financing.

This literature review examines 36 empirical studies on crowdfunding use by women entrepreneurs. It follows the PRISMA framework, using Scopus and citation tracking to categorize studies on crowdfunding’s potential to empower women financially and address their barriers to accessing finance.

The review identified seven key themes: opportunities and challenges for women in crowdfunding, equity crowdfunding’s potential, gender differences in crowdfunding outcomes, the role of social capital and networks, investor trust and decision-making, the influence of language, communication, and platform design, and the importance of considering intersectionality and context. Crowdfunding offers women entrepreneurs access to capital and helps them overcome traditional financing barriers. Women-led campaigns achieve comparable or even higher success rates compared to their male counterparts. However, under-representation, lower funding requests, pitching difficulties, and limited access to networks remain as challenges.

This study has limitations inherent to systematic reviews, including potential methodological flaws or biases in the included studies and the exclusion of relevant studies due to time and resource constraints.

Crowdfunding can be promoted as a viable financing option for women entrepreneurs and design targeted initiatives to support them. Building social capital, enhancing financial literacy, and creating networking opportunities can contribute to their success in navigating crowdfunding platforms effectively.

This review offers a comprehensive analysis of empirical studies conducted between 2012 and 2023. It provides up-to-date insights, identifies key themes, and offers actionable recommendations for policymakers and organizations seeking to support women entrepreneurs in effectively accessing and utilizing crowdfunding platforms.

Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

Demand forecasting is a challenging task that could benefit from additional relevant data and processes. The purpose of this paper is to examine how big data analytics (BDA) enhances forecasts’ accuracy.

A conceptual structure based on the design-science paradigm is applied to create categories for BDA. Existing approaches from the scientific literature are synthesized with industry knowledge through experience and intuition. Accordingly, a reference frame is developed using three steps: description of conceptual elements utilizing justificatory knowledge, specification of principles to explain the interplay between elements, and creation of a matching by conducting investigations within the retail industry.

The developed framework could serve as a guide for meaningful BDA initiatives in the supply chain. The paper illustrates that integration of different data sources in demand forecasting is feasible but requires data scientists to perform the job, an appropriate technological foundation, and technology investments.

So far, no scientific work has analyzed the relation of forecasting methods to BDA; previous works have described technologies, types of analytics, and forecasting methods separately. This paper, in contrast, combines insights and provides advice on how enterprises can employ BDA in their operational, tactical, or strategic demand plans.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.