bluuebunny/crossref_metadata_2025_split huggingface dataset:
The influence of transformational leadership on organizational performance and knowledge management capability
Authors: Aldhaheri Salma Mousabbeh , Ahmad Syed Zamberi 
Published: May 2024

PurposeKnowledge management is a common practice in organizations, with empirical evidence suggesting that organizations value the breadth of their knowledge capabilities. This study investigated transformational leadership styles and their influence on knowledge management practices and organizational performance.Design/methodology/approachA quantitative survey was conducted, and data from 270 managers of Islamic banks in the United Arab Emirates were analyzed.FindingsTransformational leadership (TL) considerably affects organizational performance and knowledge management capabilities (KMC).Originality/valueThis study offers critical insights into adopting knowledge management practices and discusses the theoretical and managerial implications of its findings. Furthermore, it elucidates the crucial impact of transformational leadership on organizational performance and KMC.
Accurate kinematic calibration of a six-DoF serial robot by using hybrid models with reduced dimension and minimized linearization errors
Authors: Jiang Zhouxiang , Chen Shiyuan , Zhao Yuchen , Long Zhongjie , Song Bao , Tang Xiaoqi 
Published: May 2024

Purpose
In typical model-based calibration, linearization errors are derived inevitably, and non-negligible negative impact will be induced on the identification results if the rotational kinematic errors are not small enough or the lengths of links are too long, which is common in the industrial cases. Thus, an accurate two-step kinematic calibration method minimizing the linearization errors is presented for a six-DoF serial robot to improve the calibration accuracy.

Design/methodology/approach
The negative impact of linearization on identification accuracy is minimized by removing the responsible linearized kinematic errors from the complete kinematic error model. Accordingly, the identification results of the dimension-reduced new model are accurate but not complete, so the complete kinematic error model, which achieves high identification accuracy of the rest of the error parameters, is combined with this new model to create a two-step calibration procedure capable of highly accurate identification of all the kinematic errors.

Findings
The proportions of linearization errors in measured pose errors are quantified and found to be non-negligible with the increase of rotational kinematic errors. Thus, negative impacts of linearization errors are analyzed quantitatively in different cases, providing the basis for allowed kinematic errors in the new model. Much more accurate results were obtained by using the new two-step calibration method, according to a comparison with the typical methods.

Originality/value
This new method achieves high accuracy with no compromise on completeness, is easy to operate and is consistent with the typical method because the second step with the new model is conveniently combined without changing the sensors or measurement instrument setup.
3D-AMM: a 3D artificial moment method for path planning of manipulator in multiple obstacles scenario
Authors: Liu Andong , Zhang Yawen , Fu Jiayun , Yan Yuankun , Zhang Wen-An 
Published: May 2024

Purpose
In response to the issue of traditional algorithms often falling into local minima or failing to find feasible solutions in manipulator path planning. The purpose of this paper is to propose a 3D artificial moment method (3D-AMM) for obstacle avoidance for the robotic arm's end-effector.

Design/methodology/approach
A new method for constructing temporary attractive points in 3D has been introduced using the vector triple product approach, which generates the attractive moments that attract the end-effector to move toward it. Second, distance weight factorization and spatial projection methods are introduced to improve the solution of repulsive moments in multiobstacle scenarios. Third, a novel motion vector-solving mechanism is proposed to provide nonzero velocity for the end-effector to solve the problem of limiting the solution of the motion vector to a fixed coordinate plane due to dimensionality constraints.

Findings
A comparative analysis was conducted between the proposed algorithm and the existing methods, the improved artificial potential field method and the rapidly-random tree method under identical simulation conditions. The results indicate that the 3D-AMM method successfully plans paths with smoother trajectories and reduces the path length by 20.03% to 36.9%. Additionally, the experimental comparison outcomes affirm the feasibility and effectiveness of this method for obstacle avoidance in industrial scenarios.

Originality/value
This paper proposes a 3D-AMM algorithm for manipulator path planning in Cartesian space with multiple obstacles. This method effectively solves the problem of the artificial potential field method easily falling into local minimum points and the low path planning success rate of the rapidly-exploring random tree method.
The influence of efficiency pursuing on business streamlining 2.0
Authors: Molin Jonas , Ahmadi Zahra 
Published: May 2024

Purpose
The purpose of this study is to develop and validate the business streamlining (BS) model proposed in 2017.

Design/methodology/approach
This study/paper develops and validates the qualitatively generated BS model, a conceptual model of service sourcing relationships, by testing it quantitatively. A survey was sent to chief exective officers, chief purchasing officers or facility managers in 764 private or public companies in Sweden with an annual turnover exceeding € 10m. The categories were tested and analyzed by means of factor analysis.

Findings
The BS model for managing service sourcing processes was confirmed to be significant overall, meaning that it is applicable irrespective of service sourcing context. The efficiency pursuing (EP) was found to have an interlinking role that calls for a revision of the BS model. Furthermore, the four categories tended to load pairwise.

Research limitations/implications
Although this cross-sectional study confirms the relevance of the BS model for managing service-sourcing processes, further studies should examine both the relative significance of its categories in different service-sourcing contexts and why the four main categories tend to pair.

Practical implications
The results support that the model is flexible and adaptable to a wide range of service-sourcing circumstances. Irrespective of the relative complexity of facility management (FM) sourcing processes, the categories can be adapted to fit the service sourcing context. Thus, it can be used as a tool to analyze and facilitate strategic decision-making.

Originality/value
The paper validates that the BS model can represent the dynamics of different service-sourcing processes, regardless of the complexity of the context.
Customer participation in new product development and the impact of remote work
Authors: Obal Michael , Friske Wesley , Morgan Todd 
Published: May 2024

Purpose
The COVID-19 pandemic has presented small-to-medium size enterprises (SMEs) with a massive and unexpected challenge that has caused many to adjust their operational standards. Perhaps the biggest change has been the shift to remote work and away from traditional office spaces. Thus, this study aims to explore the implications of this shift within the context of customer participation in the new product development (NPD) process.

Design/methodology/approach
Our study surveys 218 small-to-medium size business-to-business firms in the USA on a variety of questions revolving around their NPD processes, customer collaboration and the shift to remote work. The authors use structural equation modeling in the AMOS program to analyze the data.

Findings
The findings indicate that both customer participation breadth and customer participation depth positively impact new product performance. Furthermore, these relationships are found to be contingent upon whether firms rely on remote work during the collaboration process. The results show that accessing a broader variety of explicit customer insights (i.e., breadth) has become easier in the increasingly remote collaboration environment. However, as face-to-face customer participation in NPD has decreased, the prospect of gaining deep, tacit customer knowledge relevant to product development (i.e., depth) has become more challenging.

Originality/value
This study contributes to the knowledge-based view of the firm and the customer participation literature, and it also has implications for managers adjusting to the shift to remote work following the COVID-19 pandemic. The findings provide additional evidence that customer participation is an effective strategy for SMEs (Morgan et al., 2018), but remote work has both positive and negative implications regarding the type of external knowledge that is acquired during customer participation in NPD.
AI’s call: Jordan’s MSMEs answer with intent
Authors: Abaddi Samer 
Published: May 2024

Purpose
Artificial intelligence (AI) is a powerful and promising technology that can foster the performance, and competitiveness of micro, small and medium enterprises (MSMEs). However, the adoption of AI among MSMEs is still low and slow, especially in developing countries like Jordan. This study aims to explore the elements that influence the intention to adopt AI among MSMEs in Jordan and examines the roles of firm innovativeness and government support within the context.

Design/methodology/approach
The study develops a conceptual framework based on the integration of the technology acceptance model, the resource-based view, the uncertainty reduction theory and the communication privacy management. Using partial least squares structural equation modeling – through AMOS and R studio – and the importance–performance map analysis techniques, the responses of 471 MSME founders were analyzed.

Findings
The findings reveal that perceived usefulness, perceived ease of use and facilitating conditions are significant drivers of AI adoption, while perceived risks act as a barrier. AI autonomy positively influences both firm innovativeness and AI adoption intention. Firm innovativeness mediates the relationship between AI autonomy and AI adoption intention, and government support moderates the relationship between facilitating conditions and AI adoption intention.

Practical implications
The findings provide valuable insights for policy formulation and strategy development aimed at promoting AI adoption among MSMEs. They highlight the need to address perceived risks and enhance facilitating conditions and underscore the potential of AI autonomy and firm innovativeness as drivers of AI adoption. The study also emphasizes the role of government support in fostering a conducive environment for AI adoption.

Originality/value
As in many emerging nations, the AI adoption research for MSMEs in Jordan (which constitute 99.5% of businesses), is under-researched. In addition, the study adds value to the entrepreneurship literature and integrates four theories to explore other significant factors such as firm innovativeness and AI autonomy.
The role of influencer marketing in the rapid rise of Nusr-et: the cognitive response theory
Authors: Seçi̇lmi̇ş Cihan , Kiliç İlker , Sari Yaşar , Şenel Elif 
Published: May 2024

PurposeThis research examines the factors that affect business owner influencers' success in growing their businesses and making them a brand in line with the principles of the cognitive response theory (CRT).Design/methodology/approachThis research examined the perceived uniqueness and originality of the posts on Nusr-et’s Instagram account as external information; information credibility was examined as a cognitive response, and desire was taken as a cognitive response and intention. Partial least squares structural equation modeling (PLS-SEM) was used in the analysis of the data.FindingsAccording to the research findings, perceived uniqueness and originality were found to have positively affected information credibility and cognitive response, while cognitive response factors were also found to have positively affected desire. In addition, cognitive response factors were found to have mediated the effect of external information factors on desire. All these results reveal the significant accuracy of the model developed based on the CRT. In addition, age and gender variables were found to have had moderating roles. Based on the research findings, original suggestions for restaurant enterprises have been presented to help them gain a competitive advantage.Practical implicationsThis study has found that the posts shared by business owner influencers have affected their followers in their desire to eat in the promoted restaurants and therefore, entrepreneurs and owners of the food and beverage industry should give importance to the preparation of social media content that could directly affect customers for visit to their restaurants and regularly post such contents in their social media accounts.Originality/valueThis research has been one of the first research papers using a model to reveal the reasons for behavioral intention in the field of hospitality based on the CRT.
Intention to adopt a blockchain-based halal certification: Indonesia consumers and regulatory perspective
Authors: Karyani Etikah , Geraldina Ira , Haque Marissa Grace , Zahir Ahmad 
Published: May 2024

Purpose
Halal certification is an acknowledgment of the halalness of a product or service issued by a halal regulator based on Islamic law. This study aims to investigate the intentions of consumers and regulators toward blockchain-based halal certification. Blockchain is useful for storing and verifying halal certificates, thereby increasing trust in products or services because the public cannot change or access data once it is stored.

Design/methodology/approach
This study uses a triangulation approach by distributing online questionnaires to consumers as a research instrument of a quantitative approach processed with smart partial least squares. Meanwhile, the qualitative approach is carried out through observation, in-depth interviews with the Ministry of Religion’s Halal Product Assurance Organizing Agency (BPJPH) and Halal Examination Agency (LPH), and forum group discussions (FGDs) with several related parties.

Findings
The observation results show that most consumers expect the government to provide an easy-to-use application to check halal food products and restaurants. Consumers’ intention to use this technology is influenced directly by attitudes and indirectly by their beliefs. Furthermore, the results of interviews and FGDs reported that LPH was not ready to apply blockchain technology, while BPJPH strongly supported adopting blockchain technology in the certification process.

Practical implications
This finding recommends that the Indonesian government apply blockchain technology to gain transparency and accountability regarding the halal product process.

Originality/value
This study fills the research gap by observing three perspectives from different stakeholders and using a triangulation approach to analyze the need for adoption of blockchain-based halal certification of halal food products.
Organizational change structures: exploring the organizational conditions for sustainable change in the agro-industry
Authors: Knudsen Morten , Kishik Sharon 
Published: May 2024

PurposeThe paper starts from an observation of a discrepancy between the ambitions for sustainable change in the agro-industry and the actual changes being implemented. We offer one possible explanation by investigating the organizational structures conditioning change in this industry.Design/methodology/approachWe apply a case study methodology, focusing on the Danish pig industry and its organizational conditions for change. Based on interviews and document analysis, and building on systems theory, we develop the concept of change structures, understood as decision premises that guide the change of further decision premises.FindingsThe analysis suggests that the pig industry’s change structures predominantly enable changes that cut costs and optimize the production, which may conflict with and possibly foreclose the changes needed to realize the industry’s sustainable ambitions. This conflict and its implications are not acknowledged by the industry.Practical implicationsThe analysis indicates that the industry may be locked in its current form of organizational change. We suggest a way to overcome the lock-in by fostering organizational mechanisms that enable alternative interpretations to emerge internally. Without this, achieving the required sustainable change in the industry may hinge on stronger external regulation and support.Originality/valueConceptually, the notion of change structures supplements actor-oriented analytical approaches that focus on change agents and sense-making. Empirically, we contribute with an analysis of the conditions of possibility for sustainable change in an important yet understudied industry in organization studies; namely, the conventional agro-industry.
AI concierge in the customer journey: what is it and how can it add value to the customer?
Authors: Liu Stephanie Q. , Vakeel Khadija Ali , Smith Nicholas A. , Alavipour Roya Sadat , Wei Chunhao(Victor) , Wirtz Jochen 
Published: May 2024

PurposeAn AI concierge is a technologically advanced, intelligent and personalized assistant that is designated to an individual customer, proactively taking care of that customer’s needs throughout the service journey. This article envisions the idea of AI concierges and discusses how to leverage AI concierges in the customer journey.Design/methodology/approachThis article takes a conceptual approach and draws insights from literature in service management, marketing, psychology, human-computer interaction and ethics.FindingsThis article delineates the fundamental forms of AI concierges: dialog interface (no embodiment), virtual avatar (embodiment in the virtual world), holographic projection (projection in the physical world) and tangible service robot (embodiment in the physical world). Key attributes of AI concierges are the ability to exhibit semantic understanding of auditory and visual inputs, maintain an emotional connection with the customer, demonstrate proactivity in refining the customer’s experience and ensure omnipresence through continuous availability in various forms to attend to service throughout the customer journey. Furthermore, the article explores the multifaceted roles that AI concierges can play across the pre-encounter, encounter and post-encounter stages of the customer journey and explores the opportunities and challenges associated with AI concierges.Practical implicationsThis paper provides insights for professionals in hospitality, retail, travel, and healthcare on leveraging AI concierges to enhance the customer experience. By broadening AI concierge services, organizations can deliver personalized assistance and refined services across the entire customer journey.Originality/valueThis article is the first to introduce the concept of the AI concierge. It offers a novel perspective by defining AI concierges’ fundamental forms, key attributes and exploring their diverse roles in the customer journey. Additionally, it lays out a research agenda aimed at further advancing this domain.
STEMing together: a comparison of co-ed and all-female informal learning environments
Authors: Sanders Miriam Marie , Calabrese Julia E. , Gooden Micayla , Capraro Mary Margaret 
Published: May 2024

PurposeResearch has shown that science, technology, engineering and mathematics (STEM) self-beliefs and enjoyment are critical factors for predicting female students’ persistence in STEM degrees and careers. Studies have shown the positive effects of informal STEM learning experiences on female students’ self-beliefs. However, with the rise of all-female STEM learning experiences, such as summer camps, considering the potential advantages and disadvantages of co-ed options is important. Further, prior STEM education research has focused on sex differences in students’ self-efficacy and STEM career interests. Our study aims to examine within sex differences in secondary, female students (n = 104) who attend either a co-ed STEM camp or a same-sex STEM camp.Design/methodology/approachTo examine potential differences, we conducted independent sample t-tests.FindingsResults of the study include statistically significant differences in mathematics and science self-efficacy as well as STEM career interest after participating in their respective camps.Originality/valueFurther, prior research in STEM education has focused on between sex differences in students’ self-efficacy and STEM career interest.
Enhancing public accountability in a city authority
Authors: Makanga Christopher Neil , Orobia Laura A. , Kaawaase Twaha Kigongo , Nabeta Isaac Nkote , Katoroogo Rachel Mindra , Munene John 
Published: May 2024

PurposeThis paper seeks to provide a multi-theoretical explanation of the living practice of a public entity found in Uganda, an African developing country, which successfully enhanced public accountability.Design/methodology/approachA qualitative narrative enquiry through storytelling was used to portray the practices of public accountability. The perceptions of various individuals were obtained using in-depth interviews, from which a coherent story structured under the themes of context, actions, results and lessons was obtained.FindingsFindings show that public entities that put in place oversight mechanisms and management structures, involve stakeholders and create an ethical work climate enhance public accountability. The results further show that the integration of theories (agency, stewardship, stakeholder and ethical work climate) promotes public accountability.Research limitations/implicationsIn terms of limitations and areas for future research, the study has been conducted on a single city authority to explain public accountability. Perhaps there is a need to conduct similar studies with other city authorities or a combination of organizations. The study has used a qualitative methodology through narrative enquiry to explain public accountability. Future studies can use a quantitative methodology, more so to test the proposed conceptual model of public accountability. Despite the study limitations, the results of this study remain relevant.Practical implicationsThis study uses the positive story of a public entity from a developing country that successfully practiced public accountability. Consequently, from a practical perspective, the findings of this study can be used as a benchmark for promoting effective public accountability practices, especially in developing countries across the globe, where public accountability has proven to be a challenge. Furthermore, governments in developing countries can also use the study findings to strengthen public accountability policies in their respective countries.Social implicationsThe study suggests that enhancement in public accountability practice requires an approach that brings together a multiplicity of factors. The study affords public accountability practitioners an opportunity to replicate the successful accountability practices from the story. When public accountability is enhanced, service delivery in terms of social services by the public organizations is likely to improve, leading to better quality of life in the communities served.Originality/valueThe study is novel in its use of a positive story that depicts an entity from a developing country that successfully enhanced public accountability. To explain this phenomenon, the study uses a multi-theoretical approach, unlike prior studies.