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1 – 10 of over 1000Tinotenda Machingura, Olufemi Adetunji and Catherine Maware
This research aims to examine the complementary impact of Lean Manufacturing (LM) and Green Manufacturing (GM) on operational and environmental performance.
Abstract
Purpose
This research aims to examine the complementary impact of Lean Manufacturing (LM) and Green Manufacturing (GM) on operational and environmental performance.
Design/methodology/approach
A survey was conducted in the Zimbabwean manufacturing industry. A total of 302 valid responses were obtained and analysed using partial least square structural equation modelling (PLS-SEM).
Findings
Both LM and GM impact environmental and operational performance; however, GM's effect on operational performance is indirect through environmental performance.
Research limitations/implications
This study only focusses on the Zimbabwean manufacturing industry, and the results may not readily apply to other developing countries.
Practical implications
The companies that have successfully implemented LM are able to implement GM more easily because of their complementary nature.
Social implications
The integration of LM and GM reduces most forms of waste, causing an improved environmental and operational performance. In addition, this will improve community relations and customer satisfaction.
Originality/value
This research investigates the complementary nature of LM and GM on how LM and GM impact organisational performance and whether a combined Lean-Green implementation leads to better organisational performance than when LM and GM are implemented individually. The research also examines whether being environmentally compliant leads to improved organisational performance, particularly in a developing country.
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Abdallah Abdul-Salam, Ibrahim Osman Adam, Muftawu Dzang Alhassan, Abubakar Gbambegu Umar and Joshua Nterful
This study aims to examine the linkages between digitalisation, public service delivery and corruption in Ghana using survey data from 121 respondents in Ghana. The authors also…
Abstract
Purpose
This study aims to examine the linkages between digitalisation, public service delivery and corruption in Ghana using survey data from 121 respondents in Ghana. The authors also examine the mediating role public service delivery offers on corruption.
Design/methodology/approach
This study relied on the capability theory as its theoretical lens and partial least squares structural equation modelling (PLS-SEM) as the data analysis technique.
Findings
Results from the PLS-SEM analysis show that public service delivery significantly reduces corruption, whilst digitalisation does not. However, public service delivery significantly mediated the relationship between digitalisation and corruption.
Research limitations/implications
This study’s limitation is that the data was collected from Ghana only. To enhance the generalisability of findings, future research could collect data from multiple countries. In addition, the study did not factor in the moderating effects of demographic variables such as information and communication technology (ICT) literacy. Future research could consider these variables, given the low ICT literacy level of individuals in developing countries. Finally, future researchers could triangulate results with interviews and focus groups to provide more value to the identified questionnaire-based data.
Practical implications
The findings of this study highlight the need for digitalisation to be included in Ghana’s national policy objectives and service delivery objectives. It is essential for the government to ensure broader public engagement with stakeholders, including citizens, to ensure that digitalisation goals are achieved. The study’s results indicate that digitalisation does not significantly influence corruption. This calls for the government of Ghana to consider raising the level of human capital for the successful planning and deployment of e-services. This includes raising citizen ICT literacy and adopting cutting-edge technology to fully realize the benefits of online services. Developing capabilities, e-government leadership, and public sector employees as enablers of online public services should go hand-in-hand. It is also important to build connected capacities in the country and enhance access to information and technology, along with increasing digital infrastructure.
Originality/value
To the best of the authors’ knowledge, this is the first study to examine and offer a dual perspective on the role of digitalisation on public service delivery and corruption whilst considering the mediating role public service delivery offers on corruption.
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Travis Fried, Anne Victoria Goodchild, Ivan Sanchez-Diaz and Michael Browne
Despite large bodies of research related to the impacts of e-commerce on last-mile logistics and sustainability, there has been limited effort to evaluate urban freight using an…
Abstract
Purpose
Despite large bodies of research related to the impacts of e-commerce on last-mile logistics and sustainability, there has been limited effort to evaluate urban freight using an equity lens. Therefore, this study proposes a modeling framework that enables researchers and planners to estimate the baseline equity performance of a major e-commerce platform and evaluate equity impacts of possible urban freight management strategies. The study also analyzes the sensitivity of various operational decisions to mitigate bias in the analysis.
Design/methodology/approach
The model adapts empirical methodologies from activity-based modeling, transport equity evaluation, and residential freight trip generation (RFTG) to estimate person- and household-level delivery demand and cargo van traffic exposure in 41 U.S. Metropolitan Statistical Areas (MSAs).
Findings
Evaluating 12 measurements across varying population segments and spatial units, the study finds robust evidence for racial and socio-economic inequities in last-mile delivery for low-income and, especially, populations of color (POC). By the most conservative measurement, POC are exposed to roughly 35% more cargo van traffic than white populations on average, despite ordering less than half as many packages. The study explores the model’s utility by evaluating a simple scenario that finds marginal equity gains for urban freight management strategies that prioritize line-haul efficiency improvements over those improving intra-neighborhood circulations.
Originality/value
Presents a first effort in building a modeling framework for more equitable decision-making in last-mile delivery operations and broader city planning.
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Bohao Ma, Jessica Limierta, Chee-Chong Teo and Yiik Diew Wong
The study proposes an evaluation model that allows quantitative characterization of the effects of service quality on consumer’s satisfaction for online food delivery (OFD…
Abstract
Purpose
The study proposes an evaluation model that allows quantitative characterization of the effects of service quality on consumer’s satisfaction for online food delivery (OFD) services in a nonlinear manner. As such, the authors endeavor to bridge the research-to-practice gaps whereby the effect magnitudes and nonlinear patterns of service quality have been overlooked in the current literature.
Design/methodology/approach
The quantitative Kano method is adopted. A Kano questionnaire was first developed by synthesizing and operationalizing existing evidence on OFD service qualities. The questionnaire solicited consumers’ evaluations of 21 OFD service attributes, and it was distributed to an online panel in Singapore. With 580 valid responses, the functions that quantitatively depict effects of each attribute on consumer’s satisfaction were subsequently derived.
Findings
The results reveal that among Singaporean consumers, food quality, reliability of delivery, responsiveness of customer support, ease-of-use of digital interfaces and promotions are pivotal attributes contributing to above-average satisfaction improvement across all performance levels. Meanwhile, delivery riders’ attitudes and real-time tracking functions emerge as substantial contributors to satisfaction at high-performance levels.
Practical implications
The findings provide crucial insights for OFD practitioners in Singapore in resource prioritization and service optimization. This study demonstrated the importance of streamlining customer support services and focusing on the utilitarian aspects of OFD services. Moreover, these results can be employed in advanced service improvement procedures, providing a roadmap for future OFD service enhancements.
Originality/value
This study pioneers the development of a quantitative quality evaluation model in the OFD context. With the established quantitative Kano model, the study addresses the omission of effect magnitudes and nonlinear patterns of service quality. It highlights the transition from a binary “does it affect satisfaction” to a more nuanced “how much does it affect satisfaction” approach, offering a robust understanding of consumer’s satisfaction dynamics.
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Érico Daniel Ricardi Guerreiro, Reginaldo Fidelis and Rafael Henrique Palma Lima
A quantitative theoretical model is proposed to measure how productivity performance can be affected by strategic decisions related to specific competitive priorities.
Abstract
Purpose
A quantitative theoretical model is proposed to measure how productivity performance can be affected by strategic decisions related to specific competitive priorities.
Design/methodology/approach
This study proposes the Primary Transformation Model (PTM) and an equation to measure cause-and-effect relationships between productivity and competitive priorities.
Findings
The interdependence between productivity and competitive priorities was studied using the PTM and the proposed model indicates that strategies that improve external performance also impact internal productivity. It was also observed that the compatibility between competitive priorities depends on the initial manufacturing conditions and the implementation method adopted.
Research limitations/implications
The proposed model is theoretical and, as such, is an abstraction of reality and does not consider all possible aspects. It consists of a novel approach that still requires further empirical testing. The PTM provides insights about the trade-offs between productivity and strategic objectives, as well, contributes to the ongoing research on manufacturing strategy and can be further developed in future studies.
Practical implications
The main practical implication is to allow companies to relate their strategic decisions to their productivity performance.
Social implications
This research also contributes to societal issues by enabling firms to better align strategic objectives and operations, which ultimately allows offering products more suited to the needs of customers, thus making better use of the required resources and favoring economic growth.
Originality/value
The model proposed allows objective assessment of actions aiming at operational efficiency and effectiveness, in addition to providing insights into cause-and-effect relationships between productivity and competitive priorities. The model can also be used in empirical investigations on manufacturing strategy.
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Chanwoo Moon, Mark A. Bonn and Meehee Cho
Given the intensified competitiveness in the wine retail industry, partnering with quality suppliers becomes critical to ensure a steady supply of high-quality products and…
Abstract
Purpose
Given the intensified competitiveness in the wine retail industry, partnering with quality suppliers becomes critical to ensure a steady supply of high-quality products and sustainable business growth. This study aims to explore how wine supplier quality attributes impact wine retail businesses and if such effects differ depending on wine retail types.
Design/methodology/approach
Data were obtained from wine purchasing managers in Korea. To validate the proposed relationships, structural equation modeling was used. A multigroup analysis was conducted to test distinct roles of on/off-premise wine retail types within this research framework.
Findings
Results support the significance of supplier quality attributes in shaping the landscape of wine retail businesses. Operational and strategic benefits exhibited a positive effect on both financial performance and suppliers’ relationship satisfaction, thereby improving the intent to continue working with suppliers. This study revealed noteworthy distinctions in the effects of supplier quality attributes on operational and strategic benefits between on-premise and off-premise wine retailers.
Research limitations/implications
Findings provide valuable insights to wine suppliers and buyers concerning the establishment of a mutually beneficial long-term interdependent relationship. The approach sheds light on the unique dynamics of wine retail types, contributing to a more comprehensive understanding of the distinct roles of supplier quality attributes on on-premise and off-premise retailers.
Originality/value
This study developed an integrative framework, emphasizing the importance of supplier quality attributes in the wine retail industry. This model offers valuable insights into creating favorable buyer–supplier relationships that result in mutual benefits for both wine retailers and suppliers.
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Paulo Modesti, Jhonatan Kobylarz Ribeiro and Milton Borsato
This paper aims to develop a method based on artificial intelligence capable of predicting the due date (DD) of job shops in real-time, aiming to assist in the decision-making…
Abstract
Purpose
This paper aims to develop a method based on artificial intelligence capable of predicting the due date (DD) of job shops in real-time, aiming to assist in the decision-making process of industries.
Design/methodology/approach
This paper chooses to use the methodological approach Design Science Research (DSR). The DSR aims to build solutions based on technology to solve relevant issues, where its research results from precise methods in the evaluation and construction of the model. The steps of the DSR are identification of the problem and motivation, definition of the solution’s objectives, design and development, demonstration, evaluation of the solution and the communication of results.
Findings
Along with this work, it is possible to verify that the proposed method allows greater accuracy in the DD definition forecasts when compared to conventional calculations.
Research limitations/implications
Some limitations of this study can be pointed. It is possible to mention questions related to the tasks to be informed by users, as they could lead to problems in the performance of the artifact as the input data may not be correctly posted due to the misunderstanding of the question by part of the users.
Originality/value
The proposed artifact is a method capable of contributing to the development of the manufacturing industry to improve the forecast of manufacturing dates, assisting in making decisions related to production planning. The use of real production data contributed to creating, demonstrating and evaluating the artifact. This approach was important for developing the method allowing more reliability.
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Oluwadamilola Esan, Nnamdi I. Nwulu, Love Opeyemi David and Omoseni Adepoju
This study aims to investigate the impact of the 2013 privatization of Nigeria’s energy sector on the technical performance of the Benin Electricity Distribution Company (BEDC…
Abstract
Purpose
This study aims to investigate the impact of the 2013 privatization of Nigeria’s energy sector on the technical performance of the Benin Electricity Distribution Company (BEDC) and its workforce.
Design/methodology/approach
This study used a questionnaire-based approach, and 196 participants were randomly selected. Analytical tools included standard deviation, Spearman rank correlation and regression analysis.
Findings
Before privatization, the energy sector, managed by the power holding company of Nigeria, suffered from inefficiencies in fault detection, response and billing. However, privatization improved resource utilization, replaced outdated transformers and increased operational efficiency. However, in spite of these improvements, BEDC faces challenges, including unstable voltage generation and inadequate staff welfare. This study also highlighted a lack of experience among the trained workforce in emerging electricity technologies such as the smart grid.
Research limitations/implications
This study’s focus on BEDC may limit its generalizability to other energy companies. It does not delve into energy sector privatization’s broader economic and policy implications.
Practical implications
The positive outcomes of privatization, such as improved resource utilization and infrastructure investment, emphasize the potential benefits of private ownership and management. However, voltage generation stability and staff welfare challenges call for targeted interventions. Recommendations include investing in voltage generation enhancement, smart grid infrastructure and implementing measures to enhance employee well-being through benefit plans.
Social implications
Energy sector enhancements hold positive social implications, uplifting living standards and bolstering electricity access for households and businesses.
Originality/value
This study contributes unique insights into privatization’s effects on BEDC, offering perspectives on preprivatization challenges and advancements. Practical recommendations aid BEDC and policymakers in boosting electricity distribution firms’ performance within the privatization context.
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This paper aims to examine the online apparel shopping behaviour of Generation Y (Gen Y) in an unprecedented digital dissemination era.
Abstract
Purpose
This paper aims to examine the online apparel shopping behaviour of Generation Y (Gen Y) in an unprecedented digital dissemination era.
Design/methodology/approach
For this purpose, a “mixed-method approach” was used with an explanatory sequential research design. Logistic regression was conducted to identify the role of various contemporary elements of shopping motives. Fifteen semi-structured interviews were conducted to explain quantitative outputs.
Findings
It finds that Gen Y consumers demonstrate “fashion-hunting”, “variety-seeking”, “status/recognition-seeking” and “deal-hunting” behaviours in online apparel shopping. “Haptic impressions” gained via hands and other “socio-psychological benefits” trigger their apparel shopping behaviour. They make better and more informed purchase decisions based on prior online research and user-generated content shared by friends/relatives on social media portraying the true characteristics of “digital natives”. They do not trust online retailers for premium apparel shopping due to associated “product risk” and lack of transparency in their “exchange/return/refund policy”. Finally, they are increasingly inspired to have an “integrated online and offline shopping experience”.
Practical implications
Online retailers can use the findings of this study to develop more effective marketing strategies to serve Gen Y consumers.
Originality/value
The study measured actual behaviours on a holistic gamut of shopping motives consisting of utilitarian, hedonic, physical product-specific (apparel) and emerging elements of shopping motives in the technology-enabled era of shopping exclusively. Therefore, the results of the study offer significant, realistic and useful theoretical contributions to the existing literature on the subject matter along with valuable inputs to practitioners alike.
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Arpit Singh, Vimal Kumar, Ankesh Mittal and Pratima Verma
This study aims to set out to identify and evaluate potential obstacles to successfully implementing lean construction (LC) as a result.
Abstract
Purpose
This study aims to set out to identify and evaluate potential obstacles to successfully implementing lean construction (LC) as a result.
Design/methodology/approach
Several indicators were recognized as major obstacles following an exhaustive assessment of the literature and a multicriteria decision analysis based on the analytic hierarchy process (AHP) of information obtained from a questionnaire survey that was directed to practitioners in the Indian construction industry.
Findings
The results of this AHP model suggest that “Managerial” and “Inadequate resources” categories with a priority weight of “0.361” and “0.309” have the highest levels of influence, respectively, while “Inadequate knowledge” and “just in time (JIT)” categories with a priority weight of “0.053” and “0.034” have the lowest levels of influence, respectively.
Research limitations/implications
Construction companies can use the study’s findings as a guide to determine whether they are ready to embrace LC, learn more about the components needed for implementation or investigate any challenges that may arise. These businesses can then create plans to promote the adoption and application of the lean philosophy.
Originality/value
The Indian construction industry may see great success with LC management initiatives. LC concepts have been adopted by many nations, but during the past 20 years, there has only appeared to be a limited amount of lean implementation in the Indian construction industry. It seems that several structural and cultural barriers are preventing its effective implementation. Organizations will not be able to determine what improvement efforts are required, where these efforts should be directed or which initiatives could provide the best outcomes if they are unaware of the elements that influence the effective implementation of LC.
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