bluuebunny/crossref_metadata_2025_split huggingface dataset:
Urban Africa’s futures: perspectives and implications for agenda 2063
Authors: Karuri-Sebina Geci 
Published: January 2020

Purpose
The implications of Africa’s growth and urbanisation are the subject of much interest and speculation, and are central to the vision of the African Union’s Agenda 2063. The purpose of this paper is to compare the dominant perspectives on urban futures in Africa to emerging directions in futures and urban thinking, suggesting alternative policy approaches for Africa’s urban agenda.

Design/methodology/approach
The paper scans and sorts through how Africa’s growth and urbanisation are being understood and framed by various futurists and other futures-commentators. It takes the form of a discussion of the issue of how, why and by whom a series of data points, trends and their implications are being computed and combined, and with what validity, so to inform policy and planning responses.

Findings
The paper argues from its findings that futuring about urban Africa has been intense, but not particularly objective, neutral or even empirically grounded. Emerging directions in anticipation theorisation and experimental approaches such as “urban tinkering” are proposed as possibly offering alternative approaches to how nations and policymakers might think and act on urban Africa’s futures.

Originality/value
This original interrogation of which and how actors anticipate Africa’s urban futures could be used to expand beyond the urban visions, assumptions and futuring conventions reflected in Africa’s Agenda 2063, as well as processes advancing the global sustainable development goals and UNHabitat’s new urban agenda.
Study of the flow in a cryogenic pump under different cavitation inducements by considering the thermodynamic effect
Authors: Shao Chunlei , Zhang Zhongyuan , Zhou Jianfeng 
Published: January 2020

Purpose
The purpose of this paper is to accurately predict the cavitation performance of a cryogenic pump and reveal the influence of the inlet pressure, the surface roughness and the flow rate on the cavitation performance.

Design/methodology/approach
Firstly, the Zwart cavitation model was modified by considering the thermodynamic effect. Secondly, the feasibility of the modified model was validated by the cavitation test of a hydrofoil. Thirdly, the effects of the inlet pressure, the surface roughness and the flow rate on cavitation flow in the cryogenic pump were studied by using the modified cavitation model.

Findings
The modified cavitation model can predict the cavitation performance of the cryogenic pump more accurately than the Zwart cavitation model. The thermodynamic effect inhibits cavitation development to a certain extent. The higher the vapor volume fraction, the lower the pressure and the lower the temperature. At the initial stage of the cavitation, the head increases first and then decreases with the increase of the roughness. When the cavitation develops to a certain degree, the head decreases with the increase of the roughness. With the decrease of the flow rate, the hydraulic loss increases and the cavitation at the impeller intensifies.

Originality/value
A cavitation model considering the thermodynamic effect is proposed. The mechanism of the influence of the roughness on the performance of the cryogenic pump is revealed from two aspects. Taking the hydraulic loss as a bridge, the relationships among flow rates, vapor volume fractions, streamlines, temperatures and pressures are established.
Local knowledge based perceptions on climate change and its impacts in the Rakaposhi valley of Gilgit-Baltistan, Pakistan
Authors: Bhatta Laxmi Dutt , Udas Erica , Khan Babar , Ajmal Anila , Amir Roheela , Ranabhat Sunita 
Published: January 2020

PurposeThe purpose of this paper is to understand local perceptions on climate change and its impacts on biodiversity, rangeland, agriculture and human health.Design/methodology/approachA household survey with 300 interviewees and focus group discussions with key stakeholders were conducted and validated at two steps, using the climate data from the nearest weather stations and reviewing literatures, to correlate the local perceptions on climate change and its impacts.FindingsMajority of the respondents reported an increase in temperature and change in the precipitation pattern with increased hazardous incidences such as floods, avalanches and landslides. Climate change directly impacted plant distribution, species composition, disease and pest infestation, forage availability, agricultural productivity and human health risks related to infectious vector-borne diseases.Research limitations/implicationsBecause of the remoteness and difficult terrain, there are insufficient local weather stations in the mountains providing inadequate scientific data, thus requiring extrapolation from nearest stations for long-term climate data monitoring.Practical implicationsThe research findings recommend taking immediate actions to develop local climate change adaptation strategies through a participatory approach that would enable local communities to strengthen their adaptive capacity and resilience.Social implicationsLocal knowledge-based perceptions on climate change and its impacts on social, ecological and economic sectors could help scientists, practitioners and policymakers to understand the ground reality and respond accordingly through effective planning and implementing adaptive measures including policy formulation.Originality/valueThis research focuses on combining local knowledge-based perceptions and climate science to elaborate the impacts of climate change in a localised context in Rakaposhi Valley in Karakoram Mountains of Pakistan.
Can self-regulation work in environments of high corruption?
Authors: Yusuf Fatima , Yousaf Amna 
Published: January 2020

PurposeThe purpose of this paper is to investigate if market discipline and legal environment are sufficient to motivate firms to disclose optimal level of corporate information voluntarily in the context of a developing country that is Pakistan. Furthermore, it was examined if regulators have sufficient regulatory capacity to influence the extent up to which politically connected companies disclose corporate information.Design/methodology/approachAn in-depth investigation was carried out through qualitative content analysis of 200 annual reports from 40 companies listed on Karachi Stock Exchange along with 26 semi-structured interviews from experts in the field of corporate governance.FindingsFindings from the research indicated that there is an absence of culture for disclosure of information and country’s existing institutional environment is not sufficiently strong to support self-regulation or voluntary disclosure of information. It is argued that stringent disclosure regulation results in better flow of information in politically connected companies and helps in curbing opportunistic behaviour.Practical implicationsThis research carries significant policy implications. It is proposed that in addition to mandatory disclosure requirements, the code of corporate governance should indicate desirable disclosure levels for voluntary corporate information as well.Originality/valueThis is the first study to examine the effectiveness of role and usefulness of mandatory corporate disclosure regulation, voluntary disclosure practices, and capacity of regulators to enhance dissemination of corporate information in a developing country with high levels of political corruption and cronyism through an in-depth research.
Mapping out research focus for robotics and automation research in construction-related studies
Authors: Aghimien Douglas Omoregie , Aigbavboa Clinton Ohis , Oke Ayodeji Emmanuel , Thwala Wellington Didibhuku 
Published: January 2020

PurposeThe adoption of robotics and automation (R&A) within the construction industry has been adjudged as slow, despite the possibility of it reducing the high risk posed on health and safety of humans by the activities of the industry. The call for research and development in this area of technology to improve its adoption in the delivery of construction projects is evident in past studies. Thus, this paper aims to conduct a review of R&A in construction-related fields with a view to revealing the area of focus of past studies.Design/methodology/approachA bibliometric approach was adopted for this study, and data used were gathered from the Scopus database. Keywords such as “robotics”, “automation” and “construction” were used to extract papers from the database. VOSviewer was used to prepare a co-authorship and co-occurrence map based on the bibliographic data gathered.FindingsThe findings revealed that focus is placed on construction automation, industrial robots and application, robots’ systems and designs, robotics in earthworks, and robots’ control and information system. Furthermore, currently, research focus in this area is tending towards a more digitalised application of R&A especially in the areas of 3D manufacturing.Research limitations/implicationsThe findings of this study are limited due to the use of a single database.Practical implicationsDespite its limitations, the findings open a knowledge gap that can be explored in developing countries particularly in Africa to improve construction delivery in the continent through R&A.Originality/valueThe study adopted the bibliometric approach in mapping out research focus in R&A – an aspect of digital technology that has not been given considerable attention in recent bibliometric and scientometric studies.
The impact of project sustainability management (PSM) on project success
Authors: Khalifeh Amin , Farrell Peter , Al-edenat Malek 
Published: January 2020

PurposeThe purpose of this paper is to answer the research question: “does the incorporation of sustainability as a new school of thought in project management support project success?” The authors carried out a systematic literature review (SLR) on relevant empirical studies before 2018 to answer this question.Design/methodology/approachThe authors carried out an SLR by selecting, extracting, analysing and critically appraising relevant literature that met pre-specified criteria by using transparent, well-organised and replicable steps. The main sources are publications in peer-reviewed journals regardless of their impact factor because the topic of incorporating sustainability in project management practices is restrained by a lack of research.FindingsBased on the analysis, it seems that incorporating sustainability into project management may support project success. However, more evidence is required to support this finding as there are too few relevant empirical studies in the literature.Research limitations/implicationsTherefore, considering sustainability as a new school of thought in project management is premature, and there are recommendations for further research at the end of this study. There are several limitations to the studies chosen, which may have significantly affected results, and thus may affect outcomes in this study.Originality/valueProject success needs to be the main endeavour when incorporating sustainability into project management, and it should be a key criterion when considering sustainability as a new school of thought in managing projects. The most challenging elements of project success that need to be addressed are cost and time. This study contributes to a better understanding of the impact of PSM on project success. It facilitates decision making in considering sustainability as a new school of thought in project management. Furthermore, it defines a need for more research work in this potential paradigm shift in managing projects.
Testing the effects of job satisfaction on organizational commitment
Authors: Bashir Barooj , Gani Abdul 
Published: January 2020

PurposeAs universities are human capital intensive organizations, practices followed by a university for enhancing the satisfaction of its teachers can be of great help in attracting, retaining and managing highly qualified and competent teachers. The purpose of this paper is to empirically examine the impact of job satisfaction (JS) on organizational commitment (OC) of university teachers in India.Design/methodology/approachA total of 396 academicians are surveyed to assess the subjects’ responses to JS and commitment questionnaire. Structural equation modeling (SEM) was used in the process of statistical analysis.FindingsThe results confirmed a significant impact of JS on OC of university teachers in India. With 1 percent increase in estimates of pay and job security (PJS), organizational support (OS) and job challenge (JC), there would be 21, 36 and 49 percentage increase, respectively, in OC of university teachers. Of all the factors of JS, JC is the most significant contributing factor, followed by OC and PJS that help in motivating and retaining the teachers in higher education institutions in India.Research limitations/implicationsThe sample of the study has been chosen from the higher education sector in Northern India, and so it still needs to be explored whether the findings of this study can be replicated in different geographical areas and organizational settings for further verification and generalization.Practical implicationsEncouraging greater satisfaction among the faculty members may positively influence work-related behaviors, especially commitment among the teachers. The paper may benefit the decision makers in universities to follow the proactive practices to improve the satisfaction and commitment of teachers as educational performance is of priority on the national agenda.Originality/valueThe study provides useful insights about a JS-OC relationship model and informs the stakeholders on how to create an enabling environment at the policy and practice level that would help in attracting and retaining teachers in universities in India. It contributes to enriching the JS and OC literature in a sector and a country poorly addressed so far in research.
Decision-making approaches in process innovations: an explorative case study
Authors: Flores-Garcia Erik , Bruch Jessica , Wiktorsson Magnus , Jackson Mats 
Published: January 2020

PurposeThe purpose of this paper is to explore the selection of decision-making approaches at manufacturing companies when implementing process innovations.Design/methodology/approachThis study reviews the current understanding of decision structuredness for determining a decision-making approach and conducts a case study based on an interactive research approach at a global manufacturer.FindingsThe findings show the correspondence of intuitive, normative and combined intuitive and normative decision-making approaches in relation to varying degrees of equivocality and analyzability. Accordingly, the conditions for determining a decision-making choice when implementing process innovations are revealed.Research limitations/implicationsThis study contributes to increased understanding of the combined use of intuitive and normative decision making in production system design.Practical implicationsEmpirical data are drawn from two projects in the heavy-vehicle industry. The study describes decisions, from start to finish, and the corresponding decision-making approaches when implementing process innovations. These findings are of value to staff responsible for the design of production systems.Originality/valueUnlike prior conceptual studies, this study considers normative, intuitive and combined intuitive and normative decision making. In addition, this study extends the current understanding of decision structuredness and discloses the correspondence of decision-making approaches to varying degrees of equivocality and analyzability.
Design of pull production control systems using axiomatic design principles
Authors: Kabadurmus Ozgur , Durmusoglu Mehmet Bulent 
Published: January 2020

PurposeThe purpose of this paper is to contribute to the lean manufacturing literature by providing a roadmap for pull production control system (PCS) implementation.Design/methodology/approachAxiomatic Design (AD) methodology is used to develop the proposed pull PCS transformation roadmap.FindingsThe proposed design methodology is validated in a real-life manufacturing system. The results show that the proposed methodology significantly reduces the design efforts. The methodology effectively helps to choose the most appropriate pull PCS and determine its operational settings with respect to the manufacturing system characteristics.Research limitations/implicationsThis study presents only one case study to test the proposed methodology. In future studies, the validity of the proposed method can be further generalized in different manufacturing sectors by real-life implementations.Practical implicationsIn many real-life lean production projects, companies do not know where to start or how to proceed, which leads to repetitive design efforts and inefficient designs. The developed roadmap of this study minimizes incorrect or imperfect design trials and increases the success of pull production transformation projects.Originality/valueThe implementation of pull PCS requires extensive design knowledge and expertise. Therefore, many real-life applications fail due to costly and time-consuming trial-and-error-based design efforts. In the literature, there is no comprehensive guideline or roadmap for pull PCS implementation. To address this issue, this study provides a novel holistic roadmap to transform an existing push PCS to pull. The proposed methodology uses AD principles and combines fragmentary studies of the pull production literature.
Digital supply chain model in Industry 4.0
Authors: Garay-Rondero Claudia Lizette , Martinez-Flores Jose Luis , Smith Neale R. , Caballero Morales Santiago Omar , Aldrette-Malacara Alejandra 
Published: January 2020

Purpose
The purpose of this paper is to present a conceptual model that defines the essential components shaping the new Digital Supply Chains (DSCs) through the implementation and acceleration of Industry 4.0.

Design/methodology/approach
The scope of the present work exposes a conceptual approach and review of the key literature from 1989 to 2019, concerning the evolution and transformation of the actors and constructs in logistics and Supply Chain Management (SCM) by means of examining different conceptual models and a state-of-the-art review of Industry 4.0’s concepts and elements, with a focus on digitization in supply chain (SC) processes. A detailed study of the constructs and components of SCM, as defined by their authors, resulted in the development of a referential and systematic model that fuses the inherent concepts and roles of SCM, with the new technological trends directed toward digitization, automation, and the increasing use of information and communication technologies across logistics global value chains.

Findings
Having achieved an exploration of the different conceptual frameworks, there is no compelling evidence of the existence of a conceptual SCM that incorporates the basic theoretical constructs and the new roles and elements of Industry 4.0. Therefore, the main components of Industry 4.0 and their impact on DSC Management are described, driving the proposal for a new conceptual model which addresses and accelerates a vision of the future of the interconnectivity between different DSCs, grouped in clusters in order to add value, through new forms of cooperation and digital integration.

Originality/value
This research explores the gap in the current SCM models leading into Industry 4.0. The proposed model provides a novel and comprehensive overview of the new concepts and components driving the nascent and current DSCs. This conceptual framework will further aid researchers in the exploration of knowledge regarding the variables and components presented, as well as the verification of the newly revealed roles and constructs to understand the new forms of cooperation and implementation of Industry 4.0 in digitalized SCs.
An Industry 4.0 maturity model proposal
Authors: Santos Reginaldo Carreiro , Martinho José Luís 
Published: January 2020

Purpose
In recent years, the development and application of innovative and disruptive technologies in manufacturing environments is shaping the fourth industrial revolution, also known as Industry 4.0. The purpose of this paper is to describe a tool to assess the maturity level in implementing Industry 4.0 concepts and technologies in manufacturing companies.

Design/methodology/approach
Using a framework to develop maturity models found in literature, three main steps were taken: the model design from the literature review on industry 4.0 and the comparative analysis of existing models; interviews with engineers and managers of relevant industries; and pilot tests in two relevant industrial companies.

Findings
The proposed maturity model has 41 variables considering five dimensions (organizational strategy, structure and culture; workforce; smart factories; smart processes; smart products and services). The studied companies showed different levels of Industry 4.0 implementation. According to respondents, the model is useful in making an initial diagnosis and establishes a roadmap to proceed the implementation.

Practical implications
Empirical evidence supports the relevance of the proposed model and its practical usefulness. It can be used to measure the current state (initial diagnostic and monitoring assessments), and to plan the future desired state (goal), identifying which transformational capabilities should be developed.

Originality/value
The literature review did not return an enough complete maturity model to guide a self-administered assessment. Therefore, the proposed model is a valuable tool for companies and researchers to understand the I4.0 phenomenon, plan and monitor the transformation actions.
Board, audit committee, ownership and financial performance – emerging trends from Thailand
Authors: Al Farooque Omar , Buachoom Wonlop , Sun Lan 
Published: January 2020

PurposeThis study aims to investigate the effects of corporate board and audit committee characteristics and ownership structures on market-based financial performance of listed firms in Thailand.Design/methodology/approachIt applies system GMM (generalized method of moments) as the baseline estimator approach, and ordinary least squares and fixed effects for robustness checks on a sample of 452 firms listed on the Thai Stock Exchange for the period 2000-2016.FindingsRelying mainly on the system GMM estimator, the empirical results indicate some emerging trends in the Thai economy. Contrary to expectations for an emerging market and prior research findings, ownership structures, particularly ownership concentration and family ownership, appear to have no significant influence on market-based firm performance, while managerial ownership exerts a positive effect on performance. Moreover, as expected, board structure variables such as board independence; size; meeting and dual role; and audit committee meeting show significant explanatory power on market-based firm performance in Thai firms.Practical implicationsThese findings are important for policymakers in constructing an appropriate set of governance mechanisms in an emerging market context, and for corporate entities and investors in shaping their understanding of corporate governance in the Thai institutional context.Originality/valueUnlike previous literature on the Thai market, this study is the first to use the more advanced econometric method known as system GMM estimator for addressing causality/endogeneity issues in governance–performance relationships. The findings indicate new trends in the explanatory power of ownership structure variables on market-based firm performance in Thai-listed firms.