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Artificial intelligence (AI) refers to a type of algorithms or computerized systems that resemble human mental processes of decision-making. This position paper looks beyond the sensational hyperbole of AI in teaching and learning. Instead, this paper aims to explore the role of AI in educational leadership.

To explore the role of AI in educational leadership, I synthesized the literature that intersects AI, decision-making, and educational leadership from multiple disciplines such as computer science, educational leadership, administrative science, judgment and decision-making and neuroscience. Grounded in the intellectual interrelationships between AI and educational leadership since the 1950s, this paper starts with conceptualizing decision-making, including both individual decision-making and organizational decision-making, as the foundation of educational leadership. Next, I elaborated on the symbiotic role of human-AI decision-making.

With its efficiency in collecting, processing, analyzing data and providing real-time or near real-time results, AI can bring in analytical efficiency to assist educational leaders in making data-driven, evidence-informed decisions. However, AI-assisted data-driven decision-making may run against value-based moral decision-making. Taken together, both leaders' individual decision-making and organizational decision-making are best handled by using a blend of data-driven, evidence-informed decision-making and value-based moral decision-making. AI can function as an extended brain in making data-driven, evidence-informed decisions. The shortcomings of AI-assisted data-driven decision-making can be overcome by human judgment guided by moral values.

The paper concludes with two recommendations for educational leadership practitioners' decision-making and future scholarly inquiry: keeping a watchful eye on biases and minding ethically-compromised decisions.

This paper brings together two fields of educational leadership and AI that have been growing up together since the 1950s and mostly growing apart till the late 2010s. To explore the role of AI in educational leadership, this paper starts with the foundation of leadership—decision-making, both leaders' individual decisions and collective organizational decisions. The paper then synthesizes the literature that intersects AI, decision-making and educational leadership from multiple disciplines to delineate the role of AI in educational leadership.

The purpose of this study is to uncover how knowledge is exchanged and disseminated in the educational administration research literature through the journal citation network.

Drawing upon social network theory and citation network studies in other disciplines, we constructed an educational administration journal citation network by extracting all 157,372 citations from 5,359 journal articles in 30 educational administration journals from 2009 to 2013. We then performed social network analysis to visualize the network structure by journal clusters, and quantified journal prominence and interdisciplinarity by calculating Freeman indegree and betweenness, respectively. In addition to journal-to-journal citations, we examined the sources of non-journal citations by citation counts.

The results of journal prominence, interdisciplinarity, and eight journal clusters in the citation network indicate that educational administration, as a porous field, intimately interacts with the sub-fields of education (e.g., urban education and teacher education), other disciplines (e.g., economics, human resources, sociology, and psychology), and the research internationally. In addition to journals as the knowledge source (45.29%), we also found books (31.08%) and reports (14.98%) are important citation sources in the educational administration research literature. The most cited books and reports shed light on the knowledge base in the theory, research, and practice of educational administration.

The results of this by far the largest-scale study of educational administration journals present abundant evidence that educational administration is a porous field. This study also presents social network analysis as an alternative method to evaluate journal influence in the educational administration field.

Devices for step estimation are body-worn devices used to compute steps taken and/or distance covered by the user. Even though textiles or clothing are foremost to come to mind in terms of articles meant to be worn, their prominence among devices and systems meant for cadence is overshadowed by electronic products such as accelerometers, wristbands and smart phones. Athletes and sports enthusiasts using knee sleeves should be able to track their performances and monitor workout progress without the need to carry other devices with no direct sport utility, such as wristbands and wearable accelerometers. The purpose of this study thus is to contribute to the broad area of wearable devices for cadence application by developing a cheap but effective and efficient stride measurement system based on a knee sleeve.

A textile strain sensor is designed by weft knitting silver-plated nylon yarn together with nylon DTY and covered elastic yarn using a 1 × 1 rib structure. The area occupied by the silver-plated yarn within the structure served as the strain sensor. It worked such that, upon being subjected to stress, the electrical resistance of the sensor increases and in turn, is restored when the stress is removed. The strip with the sensor is knitted separately and subsequently sewn to the knee sleeve. The knee sleeve is then connected to a custom-made signal acquisition and processing system. A volunteer was employed for a wearer trial.

Experimental results establish that the number of strides taken by the wearer can easily be correlated to the knee flexion and extension cycles of the wearer. The number of peaks computed by the signal acquisition and processing system is therefore counted to represent stride per minute. Therefore, the sensor is able to effectively count the number of strides taken by the user per minute. The coefficient of variation of over-ground test results yielded 0.03%, and stair climbing also obtained 0.14%, an indication of very high sensor repeatability.

The study was conducted using limited number of volunteers for the wearer trials.

By embedding textile piezoresistive sensors in some specific garments and or accessories, physical activity such as gait and its related data can be effectively measured.

To the best of our knowledge, this is the first application of piezoresistive sensing in the knee sleeve for stride estimation. Also, this study establishes that it is possible to attach (sew) already-knit textile strain sensors to apparel to effectuate smart functionality.

This research investigates apparel consumers' psychological and behavioral responses to omnichannel (OC) integration. Specifically, the study applies the cognitive–affective–conative (CAC) model to reveal consumers' decision-making process under the impact of channel integration quality (CIQ), perceived fluency (PF) and cognitive and affective trust (AT).

Primary data were collected through an online survey. In total, 657 eligible responses were received. This study applied partial least square structural equation modeling for data analysis.

The findings demonstrate that the extrinsic cognitive factor, CIQ, substantially affects consumers' intrinsic cognition (cognitive trust [CT] and PF), which consequently fosters consumers' AT and shopping intentions. Specifically, integrated promotion and transaction information positively affects CT, while integrated product and price and information access negatively impact CT. All the dimensions of CIQ, except integrated promotion (IP), significantly affect PF. CT and AT exhibit mediation effects in the CAC model.

Apparel brands and retailers may apply the findings to effectively design their retail channels and implement channel integration to boost consumers' shopping intentions and trust.

This study is one of the pioneering studies applying the CAC model to empirically examine OC consumers' decision-making process. It is also among the first to determine that cognitive and AT have theoretical distinctions in the OC retailing setting.

The purpose of this paper to examine how Chinese consumers’ perceived functional and symbolic values of lifestyle fashion stores (i.e. merchandise quality, price, convenience, emotional value, aesthetic value and social value) affect their shopping behaviors (i.e. repurchase intention (RI), impulse buying (IB) and time spent (TS)).

In total, 223 eligible responses were collected via an online questionnaire survey. The psychometric properties of the proposed CPV-shopping behavior research model were examined, and the multiple regression method was applied to test the hypotheses.

The findings show that Chinese consumers’ RIs toward and TS in lifestyle fashion stores are determined by their perceived merchandise quality value, price value, emotional value and aesthetic value of lifestyle fashion stores. In contrast, Chinese consumers’ perceived price value and emotional value trigger their IB in the lifestyle fashion stores. The perceived values show satisfactory explanatory power for the variances of Chinese consumers’ shopping behaviors (R²=55, 50 and 49 percent for RI, IB and TS, respectively).

A better understanding of the Chinese consumers’ shopping behaviors toward emerging lifestyle fashion stores may assist retailers in targeting China as the soon-to-be largest consumer market.

The aim of this study is to estimate the relationship between technological innovation and corporate environmental performance among energy companies working in Egypt.

The study extended the aim with the intention to assess the role of green financing in enhancing corporate environmental performance. Partial least squares (PLS)-based structural equation modeling (SEM) is applied to estimate the nexus among study variables.

The results indicated that technological innovation influenced environmental performance and has a positive impact on company performance. The role of green financing for environmental performance is also significant and positive. Moreover, corporate social responsibility (CSR) has insignificant role in environmental performance of the energy companies in the study context.

The study offers a valuable model for general managers of manufacturing organizations and policymakers to manage CSR, environmental strategy and green innovation in examining environmental performance. It can help to assist general managers of large manufacturing organizations to strengthen their internal resources like CSR, environmental strategy and green innovation to enhance environmental performance.

The findings of this article will help the practitioners to design policies regarding sustainable energy systems and green finance in the presence of any natural calamity.

This study primarily complements the existing literature by establishing how green financing and CSR can augment and/or interact between technological innovation and corporate environmental performance under COVID-19 crises, in a developing country.

This article looks at the differences and similarities between globalization and the role of China on globalization, in particular for the Hong Kong Special Administrative Region of China (HKSAR).

This article is based on research, reading, and interviews on globalization.

China is promoting the new globalization of the century called Belt and Road Initiative (BRI) which is a unique way to boost again the economy of China.

Studies of the New Maritime and Land Silk Road of China are rare; in particular, the role of the HKSAR is ignored. Macau also plays a role because it was the first point of globalization in the seventeenth century. China is really a global country, and the Chinese are numerous in all continents. Chinese Internet role is also mentioned.

Globalization is a key concept not only for China and Asia but also for the Hong Kong Special Administrative Region (HKSAR), Africa, and countries in Latin America such as Bolivia and Venezuela. This article looks at the differences and similarities between globalization and the role of China on globalization. The HKSAR and the Greater Bay Area are part of the same country. China is developing the new globalization of the century called, in 2017, the Belt and Road Initiative (BRI). The current definition of Chinese globalization includes land and maritime Silk Road, now the BRI.

This study aims to explore the entrepreneurial marketing (EM) behaviour of Swedish born globals entering the Chinese market through their international networks. Drawing from the network theory of small firm internationalisation, this study is positioned in the domain of EM, and thus captures the relevance of EM behaviour to explain how born globals internationalise through their networks.

A qualitative case study approach of two Swedish born global companies active in the Chinese market is used. The network theory helps analyse the data in the three phases of firm internationalisation processes.

The study shows the importance of networks for the enactment of EM for born globals. The study traces the evolution of network development in the market entry process of born globals and highlights the importance of aligning network leverage with contextual factors for market performance.

The generalisation of the findings is limited due to the exploratory nature of the study and the size of the research sample.

Management of different types of networks is essential in the entry process and further growth of born globals in the Chinese market. In addition, born globals operating in psychically distant and complex institutionally contexts can especially gain support from intermediary networks.

This study extends knowledge of international entrepreneurship by demonstrating that born global managers can enact EM behaviour by leveraging networks to gain rapid entry into the Chinese market. It further highlights the role of firms’ networks in the EM activities in their internationalisation. The conceptual underpinnings of EM and network theory provide greater understanding of how born globals enter and grow their psychically distant markets.

This study aims to explore how transformational leadership influences employees' creativity by considering the role of the environment and psychology. The study aims to provide insights into the impact of transformational leadership on team innovation climate, team reflexivity, psychological capital and employee creativity while also examining the moderating effect of environmental dynamism on these relationships.

This study employed a multi-source, multi-wave approach, utilizing data from 618 participants in 118 teams. It constructed a multilevel structural equation model and estimated the confidence intervals of the mediated and moderated effects using the Markov chain Monte Carlo method.

The results of the multilevel analyses indicated that transformational leadership positively influenced the team innovation climate, team reflexivity, psychological capital and employee creativity. Moreover, the study found that environmental dynamism positively moderates the relationships among transformational leadership, team reflexivity, psychological capital and employee creativity.

Drawing on social cognitive theory and the motivated information processing in groups model, this study offers new insights into the interplay between transformational leadership and creativity. It examines the moderating role of cross-level process linkages and environmental dynamism, thereby validating and extending relevant theories.