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Strategy as learning in a crisis situation in education: Is there evidence of identity as a core component of strategy as learning in schools?
Since the Covid-19 pandemic struck, schools across the world closed, either periodically or over a considerable time. The OECD reports that during this period, globally, over 1.2 billion children were out of the classroom. As a result, schools moved part or all of their curriculum online, teaching remotely via digital platforms. Evidence suggests that for digital learning to be successfully integrated into schools, it requires the support and vision of school leaders to create a digital strategy. Our previous research into strategy in schools illustrates that there is substantial evidence that leaders’ strategising closely adheres to a strategy as learning model, which appears to link to leader identity. Based on prior empirical work alongside other evidence from the field, this paper explores whether there are links between strategy as a learning activity during a crisis, and leader identity. The paper reveals that there is evidence within this study to support this link. However, this can imply that, whilst there is evidence to suggest this can be a positive influence, there is also evidence that leaders can resist productive innovation due to deep-seated beliefs linked to their identities
Mandating a common language in the multinational enterprise: the case of Cummins in India
In this study, we answer the call for integrating insights from different language-related research areas in international business. We investigate the antecedents and outcomes of mandating English as a common language in the Indian subsidiaries and joint ventures of Cummins, a large US-headquartered industrial, multinational enterprise (MNE). Our Transaction Cost Theory lens shows how the mandated adoption of English significantly improved the Indian subsidiaries’ position in the MNE’s network. Through retrospectively analyzing the experience of the authors in top and middle management roles with Cummins in India and utilizing a range of publicly available information, we also identified the significant role of English in fostering inclusion in India, where the broad societal context of diversity and inclusion is very different from that prevailing in the MNE’s home country
Estimating the contribution of Arctic sea-ice loss to central Asia temperature anomalies: the case of winter 2020/2021
Arctic sea-ice cover has declined drastically in recent decades, notably in the Barents-Kara Seas. Previous research has linked low autumn Barents-Kara sea-ice cover to subsequent cold Eurasian winters. This lagged relationship was observed in 2020/2021. Using a causal network framework grounded in known physical mechanisms, we assess how strongly one factor directly influences another (i.e., the causal relationship) and apply this analysis to the anomalies from 2020/2021. We show that although year-to-year Barents-Kara sea-ice variations have only a minor impact on Central Asia temperatures, that causal effect becomes important for attribution and prediction when we consider the large long-term trend in Barents-Kara sea-ice cover. In particular, we find that Central Asia’s 2021 negative winter surface air temperature anomaly (relative to 1980-2020) can be fully explained by the Barents-Kara sea-ice anomaly. We further estimate that Barents-Kara sea-ice loss has more than halved the winter warming over Central Asia over the past 40 years. Hence rather than debating a cooling trend in Central Asia during winter, we propose shifting the focus to the influence of Arctic Amplification on anticipated warming trends. This study illustrates the efficacy of causal network analysis, which has implications for seasonal prediction and attribution of midlatitude winter anomalies
Understanding the subjective experience of menopause at work: a systematic review and conceptual model
This systematic review adds to the growing interest in the subjective experiences of menopause at work. We take a Power Threat Meaning Framework lens to examine how menopausal women make sense of and respond to their experiences at work. The results indicate that the power associated with the ideal worker standard can be perceived as a threat to menopausal women. In addition to the biological experience of symptoms, workplace factors and individual beliefs influence women’s meaning-making processes, exacerbating or alleviating the sense of threat and impacting women’s threat response and potential emotional distress. Women engage in different coping strategies to reduce distress, depending on their level of agency. We contribute to the literature by introducing the Subjective Menopause at Work conceptual model, explaining how women’s lived experiences of menopause impact their responses and potential outcomes. Our Subjective Menopause at Work conceptual model can be used to inform organizational practices, initiatives and interventions
Investigating crosslinguistic representations in Polish–English bilingual children: evidence from structural priming
A key question in the study of language representation in bilinguals is whether knowledge is shared across languages. Crosslinguistic syntactic priming has been widely used to test bilin- gual adults’ shared representations, but studies with child bilinguals are few and have several limitations.
We addressed these limitations in two studies with Polish–English bilingual children aged 5–11 years (N=96). We investigated bidirectional priming across languages and within each language for a structural alternation with syntactic overlap (attributive constructions) and one without structural overlap (possessive constructions).
Bidirectional crosslinguistic priming was found for possessives but not for attributives. Within-languages, there was priming for possessives and attributives in both languages. Priming was not related to children’s age, vocabulary, or language dominance scores.
We show that representations can be selectively shared between languages at the construc- tion level. The extent to which young bilinguals have shared representations depends on the frequency and complexity of structures in each language
Seven mantras for board chair effectiveness—an enlightened approach for the 21st century
Despite an increasing remit and recognition of the role of the board Chair, resources that effective Chairs of the 21st century deploy remain inadequately explored in the existing literature. This article addresses this gap through the innovative use of 57 face-to-face, elite interviews with board members and provides new insights into the best practices of Chairs of the largest listed companies in the United Kingdom. The findings of the study indicate that effective leadership of boards requires an enlightened approach, with seven Mantras of effective board leading being commonly employed. These Mantras are—support for the CEO, lead with values, exercise influence (not power), compose diverse boards, communicate inclusively, resolve conflicts intuitively and reflect and course correct. The article makes a three-fold contribution: to resource-based theory and enlightened leadership theory, to the literature on board Chair effectiveness and praxis of leading in the 21st century
Optimising decision support tools for the agricultural sector
Several challenges threaten the viability of agriculture in the Mediterranean region, for instance, climate change and variability, land degradation and desertification, environmental and social pressures in rural areas, and the arrangement and extent of properties. These challenges require the attention of farm managers and effective decision-making that can safeguard the natural resource base, enhance resilience and food security, and promote sustainable production landscapes. Decision Support Tools (DSTs) offer valuable assistance in addressing these challenges by improving the decision-making process for both farmers and advisors. They enable data-informed decisions that can enhance the sustainability performance of agricultural businesses in the region. A crucial component of designing a proficient DST is the prompt involvement of stakeholders using a participatory approach to define the needs and requirements of end users. In this study, we engaged twenty-nine stakeholders, including farmers, advisors, extension officers, policy makers, and industry representatives from the Argolida regional unit and the Greek National Ministry of Rural Development and Food. This engagement was aimed at conducting a comprehensive analysis of user needs. To achieve this, we employed the Q-methodology approach to gain a thorough comprehension of the viewpoints and requirements of these diverse stakeholder groups. The results illustrated factors such as the need for user-friendly interfaces, the importance of data accuracy and reliability, the benefit of flexibility and adaptability, and the need for appropriate training and support. These findings can aid the effective development of DSTs so that emerging challenges can be framed in a manner that will facilitate solutions
aiWOM: artificial intelligence word-of-mouth. Conceptualizing Consumer-to-AI communication
The advent of innovative technologies with installed artificial intelligence (AI) has raised the need to understand evolutive consumers’ behaviours. The dyadic communicative experience between consumers and technological artifacts with programmed social humanoid features shed the light on the emergence of an adaptative form of word-of-mouth (WOM) and that we label as “AI word-of-mouth” (aiWOM). We argue that there is a need for defining and investigating aiWOM as an emerging phenomenon which derive but diverge from WOM. Our conceptualization suggests that the communication interaction between consumers and AI technologies produce new consumers’ behaviors and psychological reactions
Using the wisdom of the crowd to improve the condition assessment of residential real estate
The ”Wisdom of the Crowd” refers to the phenomenon where the average estimate of a group is superior to the estimate of any individual within the group, even if that individual is an expert and the others are not. When applied to real estate for the first time, it is demonstrated that a group
of non-real estate professionals could arrive at a more accurate physical property categorization than a real estate expert. Importantly, this more accurate assessment of the physical condition can be achieved by merely viewing photos of the property. This appraisal trend makes the finding
even more relevant to practical implementation