Search results

1 – 10 of 97
Article
Publication date: 16 January 2024

Kedir Assefa Tessema

This study aimed to investigate the sensemaking strategies employed by early-career employees working within organizationally constrained environments.

Abstract

Purpose

This study aimed to investigate the sensemaking strategies employed by early-career employees working within organizationally constrained environments.

Design/methodology/approach

Grounded in the sensemaking-as-accomplishment framework, a longitudinal multi-case study was conducted, involving three early-career employees. These participants were interviewed multiple times concerning tasks they themselves identified as anomalous and ambiguous.

Findings

The study's findings illuminate how early-career employees utilize sensemaking strategies to accomplish anomalous-ambiguous tasks. These strategies are interwoven with deliberate efforts to mitigate organizational constraints that exist in the organization or arise during the execution of complex tasks.

Research limitations/implications

Notable limitation pertains to the time gap between task completion and the interviews. Conducting real-time interviews concurrently with task execution or immediately afterward was not feasible due to constraints in participant availability. This research has implications for organizational learning initiatives, particularly those encompassing employee-driven self-learning components. Insights derived from studies like this can inform the development of effective self-learning schemes within organizations.

Originality/value

Previous sensemaking research focused on what takes place in high-reliability organizations. This study explored sensemaking strategies in workplaces that are organizationally constrained.

Details

Qualitative Research in Organizations and Management: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5648

Keywords

Article
Publication date: 13 December 2023

Sunti Bunlang, Maitree Inprasitha and Narumon Changsri

The purpose of this paper is to explore students' mathematization through a flow of lessons using the Thailand Lesson Study Incorporated Open Approach (TLSOA) to improve the…

Abstract

Purpose

The purpose of this paper is to explore students' mathematization through a flow of lessons using the Thailand Lesson Study Incorporated Open Approach (TLSOA) to improve the excellence of instruction.

Design/methodology/approach

A total of 16 Grade 4 students were selected because they have been taught using the TLSOA model for four years. Six Lesson Study (LS) team members participated, and two instruments were utilized, namely student worksheets, and field notes. An ethnographic research design was employed.

Findings

The results revealed that the students' mathematical ideas were developed from the real world to the mathematical world through a flow of lessons based on the four phases of the Open Approach (OA).

Practical implications

Firstly, the students demonstrated their ability to represent the real world independently when the teacher posed an open-ended problem. Secondly, the students demonstrated their ability to use semi-concrete aids to develop their ideas while self-learning. Thirdly, the students showed how they developed their ideas to solve the open-ended problem using relevant objects or related concepts as part of a whole-class discussion and comparison exercise. Finally, the students demonstrated their abilities to represent the mathematical world using numbers and symbols to communicate their ideas when they were required to make a summary by connecting their mathematical ideas.

Originality/value

This study adds new insight to the literature on students' mathematization using the TLSOA model.

Details

International Journal for Lesson & Learning Studies, vol. 13 no. 1
Type: Research Article
ISSN: 2046-8253

Keywords

Article
Publication date: 22 September 2023

Sarah Alves and Edouard Thiebaut

If building and nurturing a learning organization is not a random chance, the question of where organizations should start is patent. Because learning culture is one of the core…

Abstract

Purpose

If building and nurturing a learning organization is not a random chance, the question of where organizations should start is patent. Because learning culture is one of the core components of learning organizations, it is wondered how individuals and organizations contribute to this phenomenon. Under an interactional perspective, the authors explore the cross-dynamics between learning resources, structure and support (organizational level), and self-directed learning (individual level).

Design/methodology/approach

The authors conducted qualitative and exploratory research in Spring 2021 in France. They used semi-structured interviews with HRMs and a Delphi panel as the main instruments. This dual approach brings a reflexive and complementary dialogue to the research question.

Findings

The results show that non-learning organizations took advantage of the Covid-19 period. They created a learning biotope and fostered learning dynamics. Although this biotope acted as a learning marketplace and lacked guidance, individuals interacted with this learning biotope. They took learning initiatives and developed their self-directed learning. This understanding argues for constant interaction and co-influence between organizations and individuals to build and nurture a learning culture.

Originality/value

There is little discussion on how individuals and organizations contribute to building and nurturing a learning culture from an interactional perspective. Furthermore, literature on learning organizations considers self-directedness as a whole, considering self-directed learning as a characteristic and a process sharpens thinking. On methodological concerns, the authors used a dual qualitative approach with interviews and Delphi for the first time in research on learning organizations.

Details

The Learning Organization, vol. 31 no. 1
Type: Research Article
ISSN: 0969-6474

Keywords

Article
Publication date: 1 January 2024

Masoud Parsi, Vahid Baradaran and Amir Hossein Hosseinian

The purpose of this study is to develop an integrated model for the stochastic multiproject scheduling and material ordering problems, where some of the prominent features of…

Abstract

Purpose

The purpose of this study is to develop an integrated model for the stochastic multiproject scheduling and material ordering problems, where some of the prominent features of offshore projects and their environmental-degrading effects have been embraced as well. The durations of activities are uncertain in this model. The developed formulation is tri-objective that seeks to minimize the expected time, total cost and CO2 emission of all projects.

Design/methodology/approach

A new version of the multiobjective multiagent optimization (MOMAO) algorithm has been proposed to solve the amalgamated model. To empower the MOMAO, various procedures of this algorithm have been modified based on the multiattribute utility theory (MAUT) technique. Along with the MOMAO, this study has employed four other meta-heuristic methodologies to solve the model as well.

Findings

The outputs of the MOMAO have been put to test against four other optimizers in terms of convergence, diversity, uniformity and computation times. The results of the Mean Ideal Distance (MID) metric have revealed that the MOMAO has strongly prevailed its rival optimizers. In terms of diversity of the acquired solutions, the MOMAO has ranked the first among all employed optimizers since this algorithm has offered the best solutions in 56.66 and 63.33% of the test problems regarding the diversification metric and hyper-volume metrics. Regarding the uniformity of results, which is measured through the spacing metric (SP), the MOMAO has presented the best SP values in more than 96% of the test problems. The MOMAO has needed more computation times in comparison to its rivals.

Practical implications

A real case study comprising two concurrent offshore projects has been offered. The proposed formulation and the MOMAO have been implemented for this case study, and their effectiveness has been appraised.

Originality/value

Very few studies have focused on presenting an integrated formulation for the stochastic multiproject scheduling and material ordering problems. The model embraces some of the characteristics of the offshore projects which have not been adequately studied in the literature. Limited capacities of the offshore platforms and cargo vessels have been embedded in the proposed model. The offshore platforms have spatial limitations in storing the required materials. The vessels are also capacitated and they also have limited shipment capacities. Some of the required materials need to be transported from the base to the offshore platform via a fleet of cargo vessels. The workforces and equipment can become idle on the offshore platform due to material shortage. Various offshore-related costs have been integrated as a minimization objective function in the model. The cargo vessels release CO2 detrimental emissions to the environment which are sought to be minimized in the developed formulation. To the best of the authors' knowledge, the MOMAO has not been sufficiently employed as a solution methodology for the stochastic multiproject scheduling and material ordering problems.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Content available
Book part
Publication date: 31 January 2024

Abstract

Details

Data Curation and Information Systems Design from Australasia: Implications for Cataloguing of Vernacular Knowledge in Galleries, Libraries, Archives, and Museums
Type: Book
ISBN: 978-1-80455-615-3

Article
Publication date: 17 November 2023

Baby Chandra and Zillur Rahman

Artificial intelligence (AI) has a significant impact on value co-creation (VCC). However, a study providing a comprehensive summary of the current state of the art and common…

1333

Abstract

Purpose

Artificial intelligence (AI) has a significant impact on value co-creation (VCC). However, a study providing a comprehensive summary of the current state of the art and common ground of the two fields is missing. The current study aims to fill this gap by conceptualizing the role of AI in VCC and customer decision-making.

Design/methodology/approach

The study reviews literature on VCC and AI together, including a total of 108 articles. To bring the literature together, the authors adopted the antecedents-mediators-outcomes framework and narrative approach that helped them develop a framework by integrating the antecedents, mediators and outcomes of AI-facilitated VCC. Furthermore, the authors also operationalized existing literature to facilitate an understanding of the role of AI in customer decision-making.

Findings

The study, in addition to identifying the common theoretical grounds of VCC and AI (human behavior, cognition and social interactions), operationalizes AI functionality, its characteristics and customer characteristics as the antecedents of AI-facilitated VCC. Moreover, based on literature, on the continuum of low-to-high involvement, four types of decision-making were identified as mediator of the relationship between AI characteristics, customer characteristics and VCC. Additionally, the authors found different categorizations of AI in literature as archetypes to support various forms of VCC.

Originality/value

The study contributes to the literature of VCC and AI by construing a comprehensive framework for analyzing AI's impact on VCC, envisioning customer–AI interaction as continual exchange of advantages in which characteristics of AI and customers play a critical role in customer decision-making and shaping VCC.

Details

Journal of Service Theory and Practice, vol. 34 no. 1
Type: Research Article
ISSN: 2055-6225

Keywords

Article
Publication date: 9 October 2023

Paul Lyons

The purpose of this paper, intended primarily for practitioners, is to demonstrate how features of psychological capital (PsyCap) may be combined with manager efforts to…

Abstract

Purpose

The purpose of this paper, intended primarily for practitioners, is to demonstrate how features of psychological capital (PsyCap) may be combined with manager efforts to collaborate with an employee on an action learning project. In reciprocal action learning, manager and employee create a partnership to learn, achieve work-focused goals and advance their relationship. Initiatives aimed at positively stimulating employee assets and psychological or behavioral attributes can overlay the action learning process.

Design/methodology/approach

A narrative synthesis was used to examine three sources of empirical research from organizational psychology and human resource management: reciprocity, action learning and PsyCap. Information was integrated to create a guide, a model for managers for use in considering options about how to structure employee and self-learning, as well as options for use in stimulating employee assets and PsyCap.

Findings

The approach presented may serve as a practical guide for manager consideration. Research identifies several types of behaviors and activities intended to positively stimulate and reinforce the learning of both participants. The literature on PsyCap offers many initiatives for a manager to consider in assisting an employee to develop talent and positive attitudes. Such efforts have to be carefully tailored to the individual employee, the tasks at hand and the manager’s own learning needs.

Originality/value

The value of action learning is supported by a relatively large research base. The significance of PsyCap also has substantial support. Innovatively, this paper offers guidance to a manager in consideration of combining the attributes of both concepts to maximize positive effects on learning, personal growth, skill development and work achievement.

Details

Journal of Workplace Learning, vol. 36 no. 1
Type: Research Article
ISSN: 1366-5626

Keywords

Article
Publication date: 20 March 2023

Mohd Hanafiah Ahmad, Taofeeq Durojaye Moshood and Gusman Nawanir

This study explores the impact of Industry Revolution 4.0 (IR4.0) on learning factory implementation in Universiti Malaysia Pahang (UMP). A learning factory is an action-oriented…

Abstract

Purpose

This study explores the impact of Industry Revolution 4.0 (IR4.0) on learning factory implementation in Universiti Malaysia Pahang (UMP). A learning factory is an action-oriented approach to teaching with participants acquiring competencies through structured self-learning processes in a production–technological learning environment. It integrates different teaching methods with the main objective of moving traditional teaching methods to become closer to real industrial problems. However, there is still limited information that can be used to evaluate the impact of IR4.0 on its implementation in UMP. Therefore, this study focuses on exploring the challenges faced by UMP in developing their learning factory and examines the effectiveness of UMP Learning Factory as a new teaching and learning process to support Industry 4.0.

Design/methodology/approach

First of all, identifying a problem was done, and information regarding the topic was obtained via research from various sources. Example of sources is online journals, books, the Internet and others. It is essential to understand the rationale behind why the research should be carried out as well as the objectives of the study in relation to the topic of interest. After that, a survey of the relevant literature was carried out to compile more pertinent material and run it through the lens of the selected subject. It makes the process of establishing a theoretical framework easier, and it also improves one's knowledge of the research being done. The next step in the process involves selecting responders based on the research. In order to calculate the appropriate sample size for this study, we must identify the entire population so that we can ensure that the findings we obtain are reliable. The entire population are first filtered based on the purpose of the research, and only then is it possible to establish the size of the needed sample of respondents. This research study's data gathering techniques consisted of five steps; however, in this particular study, the researcher only employed two approaches, which focused on individual interviews and semi-structured interviews, respectively. In order to address both the study purpose and the research questions, the interview questions that were developed were meant to relate to one another. During this interview procedure, the interviewees will have the option to elaborate or supply an increasing amount of pertinent data and information. Participants in the interview who have accumulated a significant amount of experience in the relevant sector are better positioned to provide both their personal and professional perspectives. The researcher will utilize audio to gather the script from the responder so that they may collect the data for analysis. The researcher is able to find the precise data analysis from the responses with the assistance of this programme. As a result, the researcher's question to the responders can be considered credible and genuine. Each respondent may read a particular question in the questionnaire in the same manner. As a result, although the question may be trusted, this fact is mostly irrelevant given that it lacks internal validity and hence does not make it possible to answer the research topic. In conclusion, the findings of this study are analysed, and conclusions are drawn from them.

Findings

In order to explore and answer research questions that are tailored to research objectives, the purpose of this study is to investigate such questions. The primary purpose of this study is to evaluate the influence that Industry 4.0 will have on the instructional methodology that will be utilized at UMP. Regarding the second aim, the purpose is to investigate the difficulties that the Universiti Malaysia Pahang encounters in the process of creating the Learning Factory. The final goal is to investigate how well UMP Learning Factory performs as a novel approach to education and training that is intended to assist Industry 4.0. The University of Malaya in Penang (UMP), which is widely regarded as one of the premier educational institutions of its kind in Malaysia, has recently implemented a learning factory as one of its pedagogical approaches. The university's deployment of the learning factory is very recent, and as such, there is room for improvement to make the most of the potential offered by this instructional approach. However, the findings of this research indicate that there is a favourable influence on both learning and teaching. The influence of the implementation of Learning Factory, which is becoming one technique of educational reform, is one of the most important factors to consider. According to the study's findings, UMP has successfully developed a learning factory that has a major influence on the learning process and is extremely good at what it does. The student benefits from an enhanced teaching and learning experience as a direct result of the contribution made by the learning factory. When it comes to generating a learning component based on the result, several obstacles have been identified. If UMP or other institutions intend to create a new learning factory, the problems might be considered factors to consider. In the teaching and learning process context, it has been demonstrated that a learning factory is particularly successful. The learning factory approach is one of the teaching techniques that makes the students understand better and have the experience of handling and controlling the equipment. Because this method introduces the hands-on approach, it is one of the teaching methods. The learning factory method is one that, in its most fundamental form, may be particularly beneficial for students to prepare themselves for the arduous process of joining the workforce. The classroom setting will be quite similar to that of a factory, and the student will improve their general collaboration. In addition to this, they will be able to operate machines and have knowledge regarding the machines that are found in the learning factory. The learning factory makes a significant contribution to the knowledge transfer process in UMP by facilitating the development of a deeper comprehension of certain bodies of information. When compared to more traditional methods of transferring information, the student will have a much easier time comprehending the material that is taught to them through the use of the hands-on learning technique.

Originality/value

This study gained some information about the impact of IR4.0 towards educational transformation, which is expected to give positive results. Basically, this research will provide further explanation about IR4.0 and educational transformation in UMP focus on learning factory. Generally, the implementation of IR4.0 in education will produce a positive result and help the students in the future. The result from this case study will hopefully be beneficial to society. The finding from this research will be used as references to all, especially top management and technical staff of UMP, for further understanding of the impact of the implementation of the learning factory. While conducting this research, seven respondents were selected from the two faculty with their own learning factories, Faculty of Industrial Management (FIM) and Faculty of Technology (FTEK). The researcher targeted lecturers and technical staff as their respondents. The overall result from the interview session was analysed. All the result is based on the interview answer to the researcher's question

Details

Journal of Applied Research in Higher Education, vol. 16 no. 1
Type: Research Article
ISSN: 2050-7003

Keywords

Article
Publication date: 14 February 2024

Batuhan Kocaoglu and Mehmet Kirmizi

This study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority…

Abstract

Purpose

This study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority weights of maturity model components.

Design/methodology/approach

A literature review with a concept-centric analysis enlightens the characteristics of constituent parts and reveals the gaps for each component. Therefore, the interdependency network among model dimensions and priority weights are identified using decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP) method, including 19 industrial experts, and the results are robustly validated with three different analyses. Finally, the applicability of the developed maturity model and the constituent elements are validated in the context of the manufacturing industry with two case applications through a strict protocol.

Findings

Results obtained from DEMATEL-based ANP suggest that smart processes with a priority weight of 17.91% are the most important subdimension for reaching higher digital maturity. Customer integration and value, with a priority weight of 17.30%, is the second most important subdimension and talented employee, with 16.24%, is the third most important subdimension.

Research limitations/implications

The developed maturity model enables companies to make factual assessments with specially designed measurement instrument including incrementally evolved questions, prioritize action fields and investment strategies according to maturity index calculations and adapt to the dynamic change in the environment with spiral maturity level identification.

Originality/value

A novel spiral maturity level identification is proposed with conceptual consistency for evolutionary progress to adapt to dynamic change. A measurement instrument that is incrementally structured with 234 statements and a measurement method that is based on the priority weights and leads to calculating the maturity index are designed to assess digital maturity, create an improvement roadmap to reach higher maturity levels and prioritize actions and investments without any external support and assistance.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Case study
Publication date: 27 February 2024

Kai Yao and Sizhi Li

This case explores how driver training school create experience value for their trainees. It describes the development of driver training industry, the foundation and new training…

Abstract

This case explores how driver training school create experience value for their trainees. It describes the development of driver training industry, the foundation and new training mode of Rongan Driving School, changes and challenges of environment for Rongan facing and so on, which will guide readers to discuss six influence factors of customer experience, six dimensions of customer-experience value, the relationship between them, and the influence of social environment. Rongan's innovative training mode of “pay after learning, time-based billing, one car for one person”, provides a good training experience for driving trainees. It has become the benchmark of the national driving training industry within six years.

Details

FUDAN, vol. no.
Type: Case Study
ISSN: 2632-7635

1 – 10 of 97