Towards Chinese smart manufacturing ecosystem in the context of the one belt one road initiative

2018 ◽  
Vol 11 (3) ◽  
pp. 291-310 ◽  
Author(s):  
Rafif Al-Sayed ◽  
Jianhua Yang

Purpose The purpose of this paper is to examine empirically China’s determined thrust to attain a high level of technological innovation and the factors affecting moving towards a smart and sophisticated manufacturing ecosystem in conjunction with the Belt and Road Initiative (OBOR). Design/methodology/approach This research provides empirical determination of the factors affecting moving towards smart manufacturing ecosystems in China. The method is based on combining two approaches: semi-structured interview and questionnaire-based with academics, experts and managers in various Chinese industrial sectors. The results are based on the multivariate analysis of the collected data. A case study of the current manufacturing ecosystem was also analyzed, in order to understand the present state as well as the potential for China’s competitive edge in the developed OBOR countries. Findings The results illustrate the importance of the infrastructure dimension comprising variables related to ecosystems, industrial clusters and Internet of Things IoT and other advanced technologies. A case study of the city of Shenzhen’s transformation into a smart cluster for innovative manufacturing points out how China’s OBOR initiative for regional collaboration will further transform the regional smart clusters into an ultra-large innovation based smart ecosystem. Originality/value This research is the first to study China’ policies towards playing a prominent role in the Fourth Industrial Revolution 4IR in the context of the OBOR initiative, through empirically defining the factors affecting moving towards a knowledge-intensive smart manufacturing ecosystem where the added value is mostly innovation based.

2019 ◽  
Vol 61 (1) ◽  
pp. 108-120 ◽  
Author(s):  
Franklin Gyamfi Agyemang ◽  
Henry Boateng

Purpose The purpose of this paper is to ascertain the factors affecting tacit knowledge transfer from a master to an apprentice in the informal sector among hairdressers in Ghana. Design/methodology/approach A case study was used as the research design. Convenient sampling technique was used to select 47 master hairdressers. Semi-structured interview guide was used for data collection. Data were analysed using the thematic technique. Findings The study found that apprenticeship fee, fear of competition, delegation reasons, joy and pride of mentorship, apprentices’ attitude and time, to be significant factors influencing tacit knowledge transfer from a master to an apprentice. It was also evident that time spent with master as he/she performs or works is crucial to learning as most of the learning is through socializing with the master. Research limitations/implications The main limitation of the study is the use of the convenient sampling technique in choosing the participants. The results of this study, if it has to be generalised to all hairdressers in Ghana, it may have to be done with caution since the participants were not drawn from a pool of all master hairdressers in Ghana. Practical implications The paper provides what apprentices must do to acquire the tacit knowledge of master hairdressers. Originality/value This paper focuses on the holder of tacit knowledge (master hairdressers) and reveals their motivations to transfer or hoard their tacit knowledge.


Facilities ◽  
2019 ◽  
Vol 38 (5/6) ◽  
pp. 421-444
Author(s):  
Hector Martin ◽  
Fey Mohammed ◽  
Kevin Lal ◽  
Shannon Ramoutar

Purpose There are limited studies addressing how choosing a maintenance strategy can contribute towards maximising outputs from given inputs, thereby minimising costs and improving a company’s competitiveness. The analytic hierarchy constant sum method (AHCSM) is used to access the appropriateness of maintenance strategies for improving the overall efficiency of a structural steel fabrication construction company. Design/methodology/approach A semi-structured interview was formulated with the stakeholders of the quality department to understand the company’s maintenance portfolio and its current functional capability. The information from this case study was then dissected to represent the factors that the company deemed appropriate for evaluating their maintenance strategy. The AHCSM approach provided a framework, which ranked the importance of factors that are sensitive to the construction industry and rank the suitability of maintenance strategies. Findings Factors affecting the selection of maintenance strategies to improve business efficiency are productivity, quality, reliability, cost, safety and work environment, morale, inventory and flexibility. Total productive maintenance strategy produces the most desirable outcome; however, the predictive or condition-based maintenance strategy provides an optimum solution for the case study company while considering the equipment usage, frequency of production and the current economic climate. Originality/value The approach presented allows practitioners to consider ways to increase the level of production and improve the efficiency of construction businesses without a high increase in investment. The findings can inform gaps in existing maintenance approaches in achieving business objectives.


2017 ◽  
Vol 6 (1) ◽  
pp. 48-63 ◽  
Author(s):  
Jeroen De Waegemaeker ◽  
Eva Kerselaers ◽  
Maarten Van Acker ◽  
Elke Rogge

Purpose As policy makers address the issue of climate adaptation, they are confronted with climate-specific barriers: a long-term horizon and a high degree of uncertainty. These barriers also hamper the development of spatial planning for climate adaptation. So how can spatial planners encompass these barriers and steer the general debate on climate adaptation? The paper aims to discuss these issues. Design/methodology/approach This research analyzes the strengths and weaknesses of an international design workshop on climate adaptation, and drought issues in particular. Design workshops are originally an educational setting but they are increasingly employed as a tool to explore alternative futures on a complex, real-life design problem. The case study illustrates how climate-specific barriers emerged throughout the design workshop and clarifies how they were encompassed by the participating design students. Findings The research clarifies the added value of a design workshop on climate adaptation. The paper highlights specific promising characteristics of the design workshop: the visualization of future adaptation challenges and the current water system, the focus on a regional project instead of sectoral adjustments and the integration of the adaptation challenge with other socio-economic goals. In the case study Flanders, however, the necessary participation of climate experts and policy makers of other domains proved challenging. Originality/value The paper argues that a design workshop has the potential to enrich the debate and policy work on climate adaptation. In many countries with low-planning tradition, however, additional tools are needed to help set the “adaptation agenda.”


2015 ◽  
Vol 6 (3) ◽  
pp. 206-222 ◽  
Author(s):  
Kanda Sorn-in ◽  
Kulthida Tuamsuk ◽  
Wasu Chaopanon

Purpose – The purpose of this paper is to study the factors affecting the development of e-government by using a citizen-centric approach. Design/methodology/approach – This paper is a mixed-methods study consisting of qualitative and quantitative research. Data were collected from government agencies using a structured interview and questionnaire about e-government services. The research was collected from the people responsible for the management of an e-government project in 75 government agencies. In addition, the researcher collected data from 1,400 citizens by using an e-Survey questionnaire that grouped participants by age. Findings – By using a citizen-centric approach, the paper identified the factors affecting the development of e-government. There were five factors from the viewpoint of government agencies and citizen groups: quality of e-government services, policy and governance, information technology infrastructure, organization and economy and society. Research limitations/implications – The research covered the development patterns of e-government for services from government to citizens only. Practical implications – Seeing the importance of environmental factors for both service providers and service users would facilitate continuous improvement of e-government service provision by government agencies. Social implications – The results reflect citizens’ need for e-government services; quality is their priority. Hence, government agencies must consider the quality of the delivery of information and e-government services as they relate to the lifestyles and needs of citizens. Originality/value – The creation of knowledge from merging e-government concepts with citizen-centric principles is a modern government sector management theory. This research stresses the need for the government sector to see the need for e-government and to recognize the factors for its successful development. This means the design and development of e-government services should respond to the increasing needs of the citizens.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wenzhuo Zhang

PurposeThis paper critically analyses the urban memory and heritage interpretation of postcolonial Harbin, a city in China that was founded by the Russians in 1898. It investigates the role and making of Russian colonial heritage in contemporary Harbin with a detailed case study of the Harbin Railway StationDesign/methodology/approachResearch methods include archival analysis, observation and semi-structured interview. In-depth interviews were conducted with local people, architect/urban planners and officials.FindingsLocal people of different generations with different backgrounds have different interpretations of the recently made colonial heritage of the Harbin Railway Station. The urban memory of Harbin has been consistently re-forming with both nostalgia and amnesia. Younger generations tend to regard the colonial heritage as their own heritage and a symbol of Harbin's cultural character without considering much about its related colonial history. In today's Harbin, colonial heritage as the “colonial past presencing” is more about a feel of the Europeanised space rather than the actual historical events of the period, and colonial heritage making becomes a tool for urban development and revitalisation at the institutional level. However, due to the paradigm shift in China's urban development, Harbin is facing new challenges in dealing with its colonial heritage.Originality/valueHarbin is an under-researched case in terms of urban heritage studies. This paper offers a new entry point for understanding the westernisation and colonial heritage making in the contemporary China more deeply and thoroughly and helps to see the trend of China's urban development more clearly.


2017 ◽  
Vol 47 (3) ◽  
pp. 302-318 ◽  
Author(s):  
Manuel Mühlburger ◽  
Stefan Oppl ◽  
Christian Stary

Purpose Deployment of knowledge management systems (KMSs) suffers from low adoption in organizational reality that is attributed to a lack of perceivable added value for people in actual work situations. Poor task/technology fit in the process of knowledge retrieval appears to be a major factor influencing this issue. Existing research indicates a lack of re-contextualizing stored information provided by KMSs in a particular situation. Existing research in the area of organizational memory information systems (OMISs) has thoroughly examined and widely discussed the topic of re-contextualization. The purpose of this paper, thus, is to examine how KMS design can benefit from OMIS research on approaches for re-contextualization in knowledge retrieval. Design/methodology/approach This paper examines OMIS literature and inductively derives a categorization scheme for KMS according to their strategy of re-contextualizing knowledge. The authors have validated the scheme validated in a multiple case study that examines the differentiatory value of the scheme for approaches with various re-contextualization strategies. Findings The classification scheme allows a step-by-step selection of approaches for re-contextualization of information in KMS design and development derived from OMIS research. The case study has demonstrated the applicability of the developed scheme and shows that the differentiation criteria can be applied unambiguously. Research limitations/implications Because of the chosen case study approach for validation, the validation results may lack generalizability. Practical implications The scheme enables an informed selection of KMSs appropriate for a particular OMIS use case, as the scheme’s attributes serve as design rationale for a certain architecture or constellation of components. Developers can not only select from various approaches when designing re-contextualizaton but also come up with rationales for each candidate because of structured representation. Hence, stakeholders can be supported in a more informed way and design KMSs more effectively along organizational change processes. Originality/value The paper addresses an identified need for systematic characterization of KMS approaches and systems intending to meet the objectives of OMISs. As such, it allows streamlining further research in this field, as approaches can be judged according to their originality and positioned relative to each other.


2019 ◽  
Vol 11 (5) ◽  
pp. 837-862 ◽  
Author(s):  
Diamantino Torres ◽  
Carina Pimentel ◽  
Susana Duarte

Purpose The purpose of this study intends to make a characterization of a shop floor management (SFM) system in the context of smart manufacturing, through smart technologies and digital shop floor (DSF) features. Design/methodology/approach To attain the paper objective, a mixed method methodology was used. In the first stage, a theoretical background was carried out, to provide a comprehensive understanding on SFM system in a smart manufacturing perspective. Next, a case study within a survey was developed. The case study was introduced to characterize a SFM system, while the survey was made to understand the level of influence of smart manufacturing technologies and of DSF features on SFM. In total, 17 experts responded to the survey. Findings Data analytics is the smart manufacturing technology that influences more the SFM system and its components and the cyber security technology does not influence it at all. The problem solving (PS) is the SFM component more influenced by the smart manufacturing technologies. Also, the use of real-time digital visualization tools is considered the most influential DSF feature for the SFM components and the data security protocols is the least influential one. The four SFM components more influenced by the DSF features are key performance indicator tracking, PS, work standardization and continuous improvement. Research limitations/implications The study was applied in one multinational company from the automotive sector. Originality/value To the best of the authors’ knowledge, this work is one of the first to try to characterize the SFM system on smart manufacturing considering smart technologies and DSF features.


2019 ◽  
Vol 32 (4) ◽  
pp. 720-730 ◽  
Author(s):  
Ali Zolait ◽  
Nadeen Radhi ◽  
Muna Moahmmed Alhowaishi ◽  
Veera Pandiyan Kaliani Sundram ◽  
Lulwa Mohammed Aldoseri

Purpose The purpose of this paper is to examine whether Bahraini individuals accept e-health system and the prominent factors affecting e-health system adoption in Bahrain. Design/methodology/approach The authors adopted a quantitative and qualitative approach, i.e., a self-administered questionnaire, unstructured and a semi-structured interview, which were used to collect the data. A questionnaire was distributed to Bahraini residents selected randomly. The framework was based on the technology acceptance model (TAM) and theory of reasoned action (TRA). Important variables from both the TAM model and TRA theory were extracted and jointly used to build the research model. Findings The findings indicated that the most factors affecting e-health adoption are trust, health literacy and attitude. Additionally, people in the private and government sectors understand e-health benefits. Practical implications If healthcare professionals understand the factors affecting e-health system adoption from an individual and organisational perspective, then nurses, pharmacists and others will be more conscious about e-health and its adoption status. Originality/value E-health system adoption has become increasingly important to governments, individuals, and researchers in recent years. A novel research framework, based on TAM and TRA, was used to produce a new integrated model.


2017 ◽  
Vol 25 (1) ◽  
pp. 109-124 ◽  
Author(s):  
Paul G. LeMahieu ◽  
Lee E. Nordstrum ◽  
Dick Gale

Purpose This paper is one of seven in this volume, each elaborating different approaches to quality improvement in education. The purpose of this paper is to delineate a methodology called positive deviance. Design/methodology/approach The paper presents the origins, theoretical foundations, core principles and a case study demonstrating an application of positive deviance in US education, specifically dealing with the problem of high school dropout prevention in a California school district. Findings The six phases of this “asset-based” improvement approach are: define the organizational or community problem and desired outcomes; determine common practices relevant to the problem; discover uncommon but successful behaviors and strategies that solve the problem (the positive deviants), through inquiry and observation; design an action learning initiative based on findings; discern (monitor) progress of the initiative by documenting and evaluating regularly; and disseminate results through sharing, honoring and amplifying success stories. Originality/value Few theoretical treatments and demonstration cases are currently available on commonly used models of quality improvement from business, manufacturing and other fields that have potential value in improving education systems internationally. This paper fills this gap by elucidating one promising approach. By facilitating a comparison of the positive deviance approach to other quality improvement approaches treated in this volume, the paper provides added value.


2017 ◽  
Vol 25 (1) ◽  
pp. 5-25 ◽  
Author(s):  
Paul G. LeMahieu ◽  
Alicia Grunow ◽  
Laura Baker ◽  
Lee E. Nordstrum ◽  
Louis M. Gomez

Purpose The purpose of this paper is to delineate an approach to quality assurance in education called networked improvement communities (NICs) that focused on integrating the methodologies of improvement science with few of the networks. Quality improvement, the science and practice of continuously improving programs, practices, processes, products and services within organized social systems, is a still-evolving area in education. This paper is the first of seven elaborating upon different approaches to quality improvement in education[1]. It delineates a new methodology called the NICs model. Developed by the Carnegie Foundation for the Advancement of Teaching, the approach is aimed at continuously improving the quality of practices, processes and outcomes in targeted problem areas in education systems. Design/methodology/approach The paper presents the historical development, theoretical foundations, core principles and adaptation of key elements of the NICs model for quality improvement in education. A case study specifically examines the problem of fostering new teacher effectiveness and retention in large public school systems in the USA. Findings The six principles underlying the NICs model are as follows: make the work problem-specific and user-centered, focus on variation in performance, see the system that produces outcomes, improve at scale what you can measure, use disciplined inquiry to drive improvement and accelerate learning through networked communities. Originality/value Few theoretical treatments and demonstration cases are currently available that examine the application of common models of quality improvement in education. This paper elaborates on one promising approach. In addition to examining the NICs model, the paper derives added value by allowing comparisons with seven widely used quality improvement approaches treated in this volume.


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