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The purpose of this phenomenological study is to explore leader identity development experiences of emerging adults at a large Midwest university and how retrospective family storytelling (Koenig Kellas, 2018) plays a role in the sense-making of the leader identity process. Through a unique, three-phase qualitative and narrative inquiry approach, this research further explores LID sense-making through retrospective family storytelling.

Qualitative phenomenology and narrative inquiry approach. Data collection consisted of three different data sets: (a) two semi-structured interviews, (b) leader artifacts and (c) journals.

The stories told by the emerging adults described how key messages influenced their identity within the context of leader identity development and their college experiences. Furthermore, a key finding in the narratives exhibited the stories emerging adults recalled in the sense-making of their leader identity centered on persevering, overcoming hardships and interpersonal connections and relationships. Findings from this research contribute to LID literature for leadership educators, researchers and practitioners in leader development.

The research presented in this article advances LID by using a narrative approach to explore the role of family narratives in identity development. Further, it approaches qualitative work with rigorous data collection and analysis processing using a cross-case analysis to develop leader identity archetypes. This study directly impacts those who work with emerging adult college students and supports the development of college student leaders.

This study aims to identify factors influencing attitudes towards remote work, categorise employed Latvians into proponents and opponents of remote work and analyse these groups in the work-family-community-self integration.

This study adopts the job demands-resources theory. Empirical research is based on a survey of employed Latvians (Feb–Mar 2021, n = 1,052, n = 853,200). The focus is on employed Latvians with remote work experience, constituting 534 individuals (50.7% of the sample). The sample aligns with the demographic profile of employed Latvians, with data weighted by age and sex (across 12 age–sex combinations) from the Central Statistical Bureau of Latvia. Research hypotheses include identification of “discriminatory” factors influencing the attitudes towards remote work, distinguishing between proponents and opponents; examination of distinct job demands and resources related to the work-family-community-self integration within the groups of proponents and opponents of remote work.

Survey results indicate that 11.2% respondents worked remotely before the COVID-19 pandemic, typically without formalisation. Among those with remote work experience, 40% support it, whereas 60% oppose it. Rather than social and demographics or employer support, work-related values play the most significant role in shaping attitudes. Proponents generally acquire more job resources than demands through remote work, fostering the work-family-community-self integration; conversely, opponents experience the opposite trend.

This study provides empirical insights into the attitudes of employed Latvians towards remote work in the work-family-community-self integration, using the job demands-resources model. Notably, it innovatively evaluates the institutionalisation of remote work.

Like a well-designed procurement strategy, a well-designed rolling stock strategy promotes the development of a railroad company and contributes to its competitive advantage. Effective implementation of the rolling stock strategy enhances the likelihood of enjoying the benefits of the strategy’s design. A successful implementation relies on the strategy being known, understood, controlled and communicated to the entire organization.

The research consists of an extensive literature review as well as a series of workshops with rolling stock suppliers, railway authorities and representatives and rail users.

This paper presents a collection of solutions for passenger rail rolling stock procurement. The authors offer guidance to the strategic procurement of rolling stock in the European Union (EU) and propose key performance indicators to measure the effectiveness of a rolling stock strategy.

While this study presents a thorough evaluation of rolling stock procurement practices, it is limited by its geographic isolation. Future studies should compare the procurement practices discussed here to others in the EU, as well as in North America, South America and Asia. Additionally, this study focused on the passenger rail segment. Passenger transport is an important function of the rail network in the EU, but future research should expand the assessment of rolling stock procurement strategies to freight rail as well.

Overall, this work provides visibility into common rolling stock procurement practices in complex EU railway markets. This work expands the literature through a review of these practices and through enabling research into best practices or a commonly accepted procurement model.

This paper aims to investigate the effect of supplier relationship management (SRM) on the business performance of small-scale grapes processing firms in Dodoma, Tanzania. The paper also examines the moderating role of logistics capabilities in the relationship between SRM and business performance.

This research uses a cross-sectional survey design. A structured questionnaire was used to collect data from 202 small-scale grape processing firms. The data were analysed through descriptive and structural equation modelling.

The findings revealed that buyer-supplier relationships, supplier development and supplier selection were positively and significantly related to business performance. Furthermore, knowledge transfer had no relationship with business performance. On the other hand, the findings showed that logistics capabilities significantly moderated the relationship between SRM and business performance.

The study was cross-sectional, conducted only in Tanzania, and focussed entirely on small-scale firms processing grapes as raw materials. Thus, generalising the study findings to other countries with different conditions should be done cautiously. Also, this study used subjective measures, and other studies could use objective measures.

The study helps firm managers understand the importance of supplier relationship management on business performance. The findings also can be used by policymakers to create targeted policies and initiatives that support the firm’s growth and sustainability.

To the best of the researchers’ knowledge, this is the first attempt to find empirical support for the moderating role of logistics capability in supplier relationship management and the business performance of small-scale grapes processing firms in the Tanzanian context.

This paper aims to empirically examine the impact of psychological factors (i.e. privacy and intrusiveness concerns) on user intentions regarding artificial intelligence (AI)-enabled social commerce applications at their core through perceived usefulness. The theoretical model is supported by the theory of planned behaviour (TPB).

Data was gathered from 488 social media users in Saudi Arabia.

Privacy concerns significantly affect perceived usefulness. Furthermore, the link between privacy concerns and behavioural intentions was mediated by perceived usefulness.

Business leaders should raise users’ awareness about the effectiveness of AI-powered tools that can influence their behavioural intentions. Furthermore, managers must be aware of the regulations that protect user privacy, track online activity and offer secure communication channels.

This paper expands on TPB by bridging the theoretical and practical divide. It further develops a theoretical framework for practitioners to better understand customers’ physiological aspects of using AI-powered social commerce platforms.

Este artículo examina empíricamente el impacto de los factores psicológicos (es decir, preocupaciones de privacidad e intrusión) en las intenciones de los usuarios con respecto a las aplicaciones de comercio social habilitadas con inteligencia artificial (IA) en su núcleo a través de la utilidad percibida. El modelo teórico se sustenta en la teoría del comportamiento planificado (TPB).

Los datos se recopilaron de 488 usuarios de redes sociales en Arabia Saudita.

Las preocupaciones sobre la privacidad afectan significativamente la utilidad percibida. Además, el vínculo entre las preocupaciones por la privacidad y las intenciones de comportamiento estuvo mediado por la utilidad percibida.

Los líderes empresariales deberían concienciar a los usuarios sobre la eficacia de las herramientas impulsadas por la IA que pueden influir en sus intenciones de comportamiento. Además, los gerentes deben conocer las regulaciones que protegen la privacidad de los usuarios, rastrear la actividad en línea y ofrecer canales de comunicación seguros.

Este artículo amplía el TPB cerrando la brecha teórica y práctica. Además, desarrolla un marco teórico para que los profesionales comprendan mejor los aspectos fisiológicos de los clientes al utilizar plataformas de comercio social impulsadas por IA.

本文透過實證研究了心理因素 (即隱私和侵入性問題) 對人工智慧 (AI) 驅動的社交商務應用程式的使用者意圖的影響, 其核心是透過感知有用性。 此理論模型得到計劃行為理論 (TBP) 的支持。

資料收集自沙烏地阿拉伯的 488 名社群媒體用戶。

隱私問題顯著影響感知的用處。 此外, 隱私問題和行為意圖之間的連結是透過感知有用性來調節的。

企業領導者應該提高使用者對人工智慧工具有效性的認識, 這些工具可以影響他們的行為意圖。 此外, 管理人員必須了解保護用戶隱私、追蹤線上活動並提供安全通訊管道的法規。

本文透過彌合理論和實踐鴻溝，對 TPB 進行了擴展。 它進一步為從業者開發了一個理論框架，以便更好地了解使用人工智慧驅動的社交商務平台的客戶的生理方面。

Plant cultivation holds a pivotal role in agriculture, necessitating precise disease identification for the overall health of plants. This research conducts a comprehensive comparative analysis between two prominent deep learning algorithms, convolutional neural network (CNN) and DenseNet121, with the goal of enhancing disease identification in tomato plant leaves.

The dataset employed in this investigation is a fusion of primary data and publicly available data, covering 13 distinct disease labels and a total of 18,815 images for model training. The data pre-processing workflow prioritized activities such as normalizing pixel dimensions, implementing data augmentation and achieving dataset balance, which were subsequently followed by the modeling and testing phases.

Experimental findings elucidated the superior performance of the DenseNet121 model over the CNN model in disease classification on tomato leaves. The DenseNet121 model attained a training accuracy of 98.27%, a validation accuracy of 87.47% and average recall, precision and F1-score metrics of 87, 88 and 87%, respectively. The ultimate aim was to implement the optimal classifier for a mobile application, namely Tanamin.id, and, therefore, DenseNet121 was the preferred choice.

The integration of private and public data significantly contributes to determining the optimal method. The CNN method achieves a training accuracy of 90.41% and a validation accuracy of 83.33%, whereas the DenseNet121 method excels with a training accuracy of 98.27% and a validation accuracy of 87.47%. The DenseNet121 architecture, comprising 121 layers, a global average pooling (GAP) layer and a dropout layer, showcases its effectiveness. Leveraging categorical_crossentropy as the loss function and utilizing the stochastic gradien descent (SGD) Optimizer with a learning rate of 0.001 guides the course of the training process. The experimental results unequivocally demonstrate the superior performance of DenseNet121 over CNN.

Few studies have explained how and when consumers are willing to engage in online brand-related activities (COBRAs). This study examines the role of brand love in a consumer’s decision to engage in online brand-related activities, considering the mediating effect of attitudinal brand engagement and the moderating effect of brand value on this relationship.

The study analysed data from 404 Spanish consumers using structural equation modelling and the PROCESS package in SPSS to test hypotheses, including mediation and moderation effects.

The study expands on previous research by revealing the mediating role of brand attitudinal engagement in the relationship between brand love and COBRAs and the moderating role of brand value in the relationship between brand engagement and COBRAs. The results show that online consumers who feel brand love from an online store are likelier to be engaged with the brand. This predisposes them to comment on, share, and create content related to the company or brand. Furthermore, consumers who attribute a high value to the brand are likelier to engage in brand-related online activities.

This study offers valuable insights into mechanisms to encourage consumers to generate content, known as user-generated content, to the extent that the tools for developing this content are the same.

至今, 很少研究嘗試去探討消費者為何或於何時會樂意去參與與品牌相關的在線活動。本研究擬探討品牌摯愛對消費者會否決定參與與品牌相關的在線活動所扮演的角色; 研究方法是透過分析態度品牌參與的中介效應和品牌價值在上述品牌摯愛與參與在線活動之間的關聯上所起的調節效果,以求達至研究目的。

研究人員收集來自404名西班牙消費者的數據,並以結構方程模型和SPSS裏的模組PROCESS,去檢測有關的假設,包括就中介效應和調節效果的假設。

研究揭示了態度品牌參與在品牌摯愛與COBRAs 之間的關聯上所扮演的中介角色,研究亦揭示了品牌價值在品牌參與與COBRAs之間的關聯上所扮演的調節角色; 就此而言, 本研究拓展了從前學者探討有關的領域。再者,研究結果顯示,如果消費者從網上商店產生品牌愛慕的話,他們會投入這個品牌; 這使他們更有可能去評價有關的公司和品牌,以及去分享和創建關於公司和品牌的內容; 而且,若消費者視品牌本身擁有高度價值的話,他們會更易於參與與品牌相關的在線活動。

本研究提供了寶貴的啟示,使我們更了解驅使消費者去創造內容 (即用戶生成內容) 的機制,以至生成這些內容的工具均儘相同的地步。

Firms are advocating for social change to a growing extent, but the performance implications of corporate activism are not clearly understood. This study aims to introduce social nonmarket strategy (SNMS) as a goal-directed form of corporate activism, explore whether such strategy harms corporate financial performance (CFP), and assess the buffering potential of effective market-based strategy and good standing with stakeholders.

A reflective measurement model and all hypothesized relationships were tested using consistent partial least squares structural equation modeling on a data set of 202 US-based small, medium, and large manufacturing and service firms.

SNMS is positively related to good standing with stakeholders but negatively related to CFP. By contrast, a higher market strategy (MS) is positively associated with both stakeholder performance and CFP. MS and stakeholder performance buffer but do not fully neutralize the adverse financial effect of SNMS.

Firms undertaking SNMS face serious risks. However, effective MS and higher levels of stakeholder performance can buffer but not fully neutralize the adverse financial effect of SNMS.

This research introduces SNMS as a goal-directed form of corporate activism, establishes the conflicting performance effects of such strategy and estimates the buffering potential of MS and stakeholder performance.

The study examines the impact of behavioral biases, such as herd behavior, overconfidence and reactions to ESG News, on Socially Responsible Investing (SRI) decisions in the Indian context. Additionally, it explores gender differences in SRI decisions, thereby deepening the understanding of the factors shaping SRI choices and their implications for sustainable finance and gender-inclusive investment strategies.

The study employs Bayesian linear regression to analyze the impact of behavioral biases on SRI decisions among Indian investors since it accommodates uncertainties and integrates prior knowledge into the analysis. Posterior distributions are determined using the Markov chain Monte Carlo technique, ensuring robust and reliable results.

The presence of behavioral biases presents challenges and opportunities in the financial sector, hindering investors’ SRI engagement but offering valuable opportunities for targeted interventions. Peer advice and hot stocks strongly predict SRI engagement, indicating external influences. Investors reacting to extreme ESG events increasingly integrate sustainability into investment decisions. Gender differences reveal a greater inclination of women towards SRI in India.

The sample size was relatively small and restricted to a specific geographic region, which may limit the generalizability of the findings to other areas. While efforts were made to select a diverse sample, the results may represent something different than the broader population. The research focused solely on individual investors and did not consider the perspectives of institutional investors or other stakeholders in the SRI industry.

The study's practical implications are twofold. First, knowing how behavioral biases, such as herd behavior, overconfidence, and reactions to ESG news, affect SRI decisions can help investors and managers make better and more sustainable investment decisions. To reduce biases and encourage responsible investing, strategies might be created. In addition, the discovery of gender differences in SRI decisions, with women showing a stronger propensity, emphasizes the need for targeted marketing and communication strategies to promote more engagement in sustainable finance. These implications provide valuable insights for investors, managers, and policymakers seeking to advance sustainable investment practices.

The study has important social implications. It offers insights into the factors influencing individuals' SRI decisions, contributing to greater awareness and responsible investment practices. The gender disparities found in the study serve as a reminder of the importance of inclusivity in sustainable finance to promote balanced and equitable participation. Addressing these disparities can empower individuals of both genders to contribute to positive social and environmental change. Overall, the study encourages responsible investing and has a beneficial social impact by working towards a more sustainable and socially conscious financial system.

This study addresses a significant research gap by employing Bayesian linear regression method to examine the impact of behavioral biases on SRI decisions thereby offering more meaningful results compared to conventional frequentist estimation. Furthermore, the integration of behavioral finance with sustainable finance offers novel perspectives, contributing to the understanding of investors, investment managers, and policymakers, therefore, catalyzing responsible capital allocation. The study's exploration of gender dynamics adds a new dimension to the existing research on SRI and behavioral finance.