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1 – 10 of over 1000
Article
Publication date: 12 January 2024

Pengyun Zhao, Shoufeng Ji and Yuanyuan Ji

This paper aims to introduce a novel structure for the physical internet (PI)–enabled sustainable supplier selection and inventory management problem under uncertain environments.

Abstract

Purpose

This paper aims to introduce a novel structure for the physical internet (PI)–enabled sustainable supplier selection and inventory management problem under uncertain environments.

Design/methodology/approach

To address hybrid uncertainty both in the objective function and constraints, a novel interactive hybrid multi-objective optimization solution approach combining Me-based fuzzy possibilistic programming and interval programming approaches is tailored.

Findings

Various numerical experiments are introduced to validate the feasibility of the established model and the proposed solution method.

Originality/value

Due to its interconnectedness, the PI has the opportunity to support firms in addressing sustainability challenges and reducing initial impact. The sustainable supplier selection and inventory management have become critical operational challenges in PI-enabled supply chain problems. This is the first attempt on this issue, which uses the presented novel interactive possibilistic programming method.

Details

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

Keywords

Article
Publication date: 26 March 2024

Jing An, Suicheng Li and Xiao Ping Wu

Project managers bear the responsibility of selecting and developing resource scheduling methods that align with project requirements and organizational circumstances. This study…

Abstract

Purpose

Project managers bear the responsibility of selecting and developing resource scheduling methods that align with project requirements and organizational circumstances. This study focuses on resource-constrained project scheduling in multi-project environments. The research simplifies the problem by adopting a single-project perspective using gain coefficients.

Design/methodology/approach

It employs uncertainty theory and multi-objective programming to construct a model. The optimal solution is identified using Matlab, while LINGO determines satisfactory alternatives. By combining these methods and considering actual construction project situations, a compromise solution closely approximating the optimal one is derived.

Findings

The study provides fresh insights into modeling and resolving resource-constrained project scheduling issues, supported by real-world examples that effectively illustrate its practical significance.

Originality/value

The research highlights three main contributions: effective resource utilization, project prioritization and conflict management, and addressing uncertainty. It offers decision support for project managers to balance resource allocation, resolve conflicts, and adapt to changing project demands.

Details

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

Keywords

Article
Publication date: 14 December 2023

Miguel Angel Ortíz-Barrios, Stephany Lucia Madrid-Sierra, Antonella Petrillo and Luis E. Quezada

Food manufacturing supply chain systems are the most relevant wheels of the world economy since they provide essential products supporting daily life. Nevertheless, various supply…

Abstract

Purpose

Food manufacturing supply chain systems are the most relevant wheels of the world economy since they provide essential products supporting daily life. Nevertheless, various supply inefficiencies have been reported to compromise food safety in different regions. Sustainable supplier management and digitalization practices have become cornerstone activities in addressing these shortcomings. Therefore, this paper proposes an integrated method for sustainability management in digital manufacturing supply chain systems (DMSCS) from the food industry.

Design/methodology/approach

The Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) was used to weigh the criteria and subcriteria under uncertainty. Second, the Intuitionistic Fuzzy Decision-Making Trial and Evaluation Laboratory (IF-DEMATEL) was applied to determine the main DMSCS sustainability drivers whilst incorporating the expert's hesitancy. Finally, the Combined Compromise Solution (CoCoSo) was implemented to pinpoint the weaknesses hindering DMSCS sustainability. A case study from the pork supply chain was presented to validate this method.

Findings

The most important criterion for DMSCS sustainability management is “location” while “manufacturing capacity” is the most significant dispatcher.

Originality/value

This paper presents a novel approach integrating IF-AHP, IF-DEMATEL, and CoCoSo methods for sustainability management of DMSCS pillaring the food industry.

Details

Journal of Enterprise Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 21 November 2023

Nimasha Dilukshi Hulathdoowage, Gayani Karunasena, Nilupa Udawatta and Chunlu Liu

Over the years, the significance of retrofitting has gained much attention with the unveiling of its different applications, such as energy retrofit and deep retrofit, to enhance…

Abstract

Purpose

Over the years, the significance of retrofitting has gained much attention with the unveiling of its different applications, such as energy retrofit and deep retrofit, to enhance the climate-resilience of buildings. However, no single study comprehensively assesses the climate-resilience of retrofitting. The purpose of this study is to address this gap via a systematic literature review.

Design/methodology/approach

Quality journal studies were selected using the PRISMA method and analysed manually and using scientometrics. Three dimensions of climate-resilience, such as robustness, withstanding and recovery, were used to evaluate the contribution of retrofit measures for achieving climate-resilient houses across four climate zones: tropical, arid, temperate and cold.

Findings

Most passive measures can enhance the robustness of residential buildings but cannot verify for withstanding against immediate shocks and timely recovery. However, some passive measures, such as night-time ventilation, show excellent performance over all four climate zones. Active measures such as heating, ventilation and air conditioning and mechanical ventilation with heat recovery, can ensure climate-resilience in all three dimensions in the short-term but contribute to greenhouse gas emissions, further exacerbating the long-term climate. Integrating renewable energy sources can defeat this issue. Thus, all three retrofit strategies should appropriately be adopted together to achieve climate-resilient houses.

Research limitations/implications

Since the research is limited to secondary data, retrofit measures recommended in this research should be further investigated before application.

Originality/value

This review contributes to the knowledge domain of retrofitting by assessing the contribution of different retrofit measures to climate-resilience.

Details

International Journal of Disaster Resilience in the Built Environment, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1759-5908

Keywords

Article
Publication date: 23 March 2023

Zerun Fang, Wenlin Gui, Zhaozhou Han and Lan Lan

This study aims to propose a refined dynamic network slacks-based measure (DNSBM) to evaluate the efficiency of China's regional green innovation system which consists of basic…

Abstract

Purpose

This study aims to propose a refined dynamic network slacks-based measure (DNSBM) to evaluate the efficiency of China's regional green innovation system which consists of basic research, applied research and commercialization stages and explore the influencing factors of the stage efficiency.

Design/methodology/approach

A two-step procedure is employed. The first step proposes an improved DNSBM model with flexible settings of stages' input or output efficiency and uses second order cone programming (SOCP) to solve the non-linear problem. In the second step, least absolute shrinkage and selection operator (LASSO) and Tobit models are used to explore the influencing factors of the stage efficiency. Global Dynamic Malmquist Productivity Index (GDMPI) and Dagum Gini coefficient decomposition method are introduced for further discussion of the productivity change and regional differences.

Findings

On average, Chinese provincial green innovation efficiency should be improved by 24.11% to become efficient. The commercialization stage outperforms the stages of basic research and applied research. Comparisons between the proposed model and input-oriented, output-oriented and non-oriented DNSBM models show that the proposed model is more advanced because it allows some stages to have output-oriented model characteristics while the other stages have input-oriented model characteristics. The examination of the influencing factors reveals that the three stages of the green innovation system have quite diverse influencing factors. Further discussion reveals that Chinese green innovation productivity has increased by 39.85%, which is driven mainly by technology progress, and the increasing tendency of regional differences between northern and southern China should be paid attention to.

Originality/value

This study proposes an improved dynamic three-stage slacks-based measure (SBM) model that allows calculating output efficiency in some stages and input efficiency in the other stages with the application of SOCP approach. In order to capture productivity change, this study develops a GDMPI based on the DNSBM model. In practice, the efficiency of regional green innovation in China and the factors that influence each stage are examined.

Details

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

Keywords

Open Access
Article
Publication date: 15 March 2024

Mohammadreza Tavakoli Baghdadabad

We propose a risk factor for idiosyncratic entropy and explore the relationship between this factor and expected stock returns.

Abstract

Purpose

We propose a risk factor for idiosyncratic entropy and explore the relationship between this factor and expected stock returns.

Design/methodology/approach

We estimate a cross-sectional model of expected entropy that uses several common risk factors to predict idiosyncratic entropy.

Findings

We find a negative relationship between expected idiosyncratic entropy and returns. Specifically, the Carhart alpha of a low expected entropy portfolio exceeds the alpha of a high expected entropy portfolio by −2.37% per month. We also find a negative and significant price of expected idiosyncratic entropy risk using the Fama-MacBeth cross-sectional regressions. Interestingly, expected entropy helps us explain the idiosyncratic volatility puzzle that stocks with high idiosyncratic volatility earn low expected returns.

Originality/value

We propose a risk factor of idiosyncratic entropy and explore the relationship between this factor and expected stock returns. Interestingly, expected entropy helps us explain the idiosyncratic volatility puzzle that stocks with high idiosyncratic volatility earn low expected returns.

Details

China Accounting and Finance Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1029-807X

Keywords

Article
Publication date: 19 January 2024

Mário Nuno Mata, José Moleiro Martins and Pedro Leite Inácio

The purpose of this study is to identify the relationship between collaborative innovation and the financial performance of information technology (IT) firms through the mediating…

Abstract

Purpose

The purpose of this study is to identify the relationship between collaborative innovation and the financial performance of information technology (IT) firms through the mediating role of strategic agility and absorptive capacity. Customer knowledge management capability (CKMC) is also explored as a potential moderator.

Design/methodology/approach

Data were collected from 300 respondents working in different small to medium IT enterprises operating in different cities around Portugal. The simple random sampling method was used for data collection, and Smart partial least squares-structural equation modeling (Smart PLS-SEM version 3.2.8) was used to test the hypotheses.

Findings

The findings demonstrate that collaborative innovation contributes significantly to the financial performance of IT firms in Portugal. The results also indicate that absorptive capacity and strategic agility both positively and significantly affect the relationship between collaborative innovation and firms’ financial performance. However, while the moderating role of CKMC has a positive and significant effect on the relation between collaborative innovation and strategic agility, CKMC insignificantly moderates the relation between collaborative innovation and absorptive capacity.

Originality/value

Few studies have explicitly connected collaborative innovation with firms’ financial performance; this study attempts to fill that gap. Moreover, this research investigates the mediating role of strategic agility and absorptive capacity in the relationship between collaborative innovation and financial performance. Finally, by discussing the moderating effect of CKMC, which leads to enhanced financial performance, this study proposes that when complex and unpredictable situations occur, managers should focus on customer-oriented strategies and innovation at the same time to outpace their competitors.

Details

Journal of Knowledge Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 23 February 2024

Paulo Vitor Souza de Souza, Kátia Dalcero, Denize Demarche Minatti Ferreira and Edilson Paulo

This paper aims to examine how environmental, social and governance (ESG) practices are influenced by environmental innovations and how cultural dimensions moderate this…

Abstract

Purpose

This paper aims to examine how environmental, social and governance (ESG) practices are influenced by environmental innovations and how cultural dimensions moderate this interaction in Latin American companies.

Design/methodology/approach

In this paper 157 companies from 6 Latin American countries were studied between 2010 and 2021, with a total of 1,204 observations. Data were collected from Refinitiv Eikon®, and results were generated using ordinary least squares regression, with country and year as controls.

Findings

ESG performance is higher in companies that invest in environmental innovation; innovation positively affects individual ESG factors; and masculinity, individualism, indulgence and power distance positively or negatively moderate the relationship between innovation and ESG performance, as well as environmental and social dimensions.

Research limitations/implications

Our findings contribute to the body of knowledge on sustainable practices in different cultures. We draw the attention of standard setters to the impact of innovation and culture on ESG practices in different countries.

Practical implications

Better understanding of how environmental innovation can mitigate inequality, poverty and environmental issues in Latin America, promoting equitable development and environmental preservation.

Social implications

Latin American countries show significant levels of poverty, social and productive heterogeneity, and deficiencies in sustainable practices. Therefore, providing information on innovation as an incentive for better sustainable policies can promote these practices.

Originality/value

Our study fills a gap by examining the specific influence of environmental innovation on ESG performance, particularly through its interactions with cultural dimensions, in a sample of Latin American firms.

Propósito

Examinar cómo las prácticas de Medio Ambiente, Social y Gobierno Corporativo (ESG) se ven influenciadas por las innovaciones ambientales y cómo las dimensiones culturales moderan esta interacción en las empresas latinoamericanas.

Diseño/metodología/enfoque:

Se estudiaron 157 empresas de 6 países latinoamericanos entre 2010 y 2021, con un total de 1,204 observaciones. Los datos se recopilaron de Refinitiv Eikon® y los resultados se generaron utilizando regresiones de mínimos cuadrados ordinarios, con el país y el año como variables de control.

Hallazgos:

El desempeño ESG es mayor en empresas que invierten en innovación ambiental; la innovación afecta positivamente a factores ambientales, sociales y de gobierno corporativo individuales; y la masculinidad, el individualismo, la indulgencia y la distancia de poder moderan positiva o negativamente la relación entre la innovación y el desempeño ESG, así como las dimensiones ambientales y sociales.

Originalidad

Nuestro estudio llena un vacío al examinar la influencia específica de la innovación ambiental en el desempeño ESG, especialmente a través de sus interacciones con las dimensiones culturales, en una muestra de empresas latinoamericanas.

Implicaciones prácticas

Mejor comprensión de cómo la innovación ambiental puede mitigar la desigualdad, la pobreza y los problemas ambientales en América Latina, promoviendo el desarrollo equitativo y la preservación del medio ambiente.

Implicaciones sociales

Los países latinoamericanos muestran niveles significativos de pobreza, heterogeneidad social y productiva, y deficiencias en prácticas sostenibles. Por lo tanto, proporcionar información sobre la innovación como incentivo para políticas más sostenibles puede promover estas prácticas.

Limitaciones/implicaciones de la investigación

Nuestros hallazgos contribuyen al cuerpo de conocimiento sobre prácticas sostenibles en diferentes culturas. Llamamos la atención de los reguladores sobre el impacto de la innovación y la cultura en las prácticas ESG en diferentes países.

Details

Academia Revista Latinoamericana de Administración, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1012-8255

Keywords

Article
Publication date: 20 November 2023

Thorsten Teichert, Christian González-Martel, Juan M. Hernández and Nadja Schweiggart

This study aims to explore the use of time series analyses to examine changes in travelers’ preferences in accommodation features by disentangling seasonal, trend and the COVID-19…

Abstract

Purpose

This study aims to explore the use of time series analyses to examine changes in travelers’ preferences in accommodation features by disentangling seasonal, trend and the COVID-19 pandemic’s once-off disruptive effects.

Design/methodology/approach

Longitudinal data are retrieved by online traveler reviews (n = 519,200) from the Canary Islands, Spain, over a period of seven years (2015 to 2022). A time series analysis decomposes the seasonal, trend and disruptive effects of six prominent accommodation features (view, terrace, pool, shop, location and room).

Findings

Single accommodation features reveal different seasonal patterns. Trend analyses indicate long-term trend effects and short-term disruption effects caused by Covid-19. In contrast, no long-term effect of the pandemic was found.

Practical implications

The findings stress the need to address seasonality at the single accommodation feature level. Beyond targeting specific features at different guest groups, new approaches could allow dynamic price optimization. Real-time insight can be used for the targeted marketing of platform providers and accommodation owners.

Originality/value

A novel application of a time series perspective reveals trends and seasonal changes in travelers’ accommodation feature preferences. The findings help better address travelers’ needs in P2P offerings.

Details

International Journal of Contemporary Hospitality Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 12 January 2024

Agathe S. Lacaze, Fernando A.F. Ferreira and Margarida R. Santos

Strategic management plays a pivotal role in the growth and success of organizations, significantly impacting their business performance and competitive edge. In today’s…

Abstract

Purpose

Strategic management plays a pivotal role in the growth and success of organizations, significantly impacting their business performance and competitive edge. In today’s globalized markets, strategic management is gaining prominence as a means to enhance company performance and distinctiveness. Within this landscape, the evaluation of organizational effectiveness takes on heightened significance, complemented by the emergence of strategic management frameworks designed to secure enduring competitive advantages for businesses.

Design/methodology/approach

One of the best known approaches to organizational resource assessment is the value, rarity, inimitability and organizational-oriented (VRIO) framework. However, this tool comes with inherent limitations that have hindered its advancement, primarily related to the need for less subjective means of identifying and assigning weights to resources and capabilities during the evaluation process. This study, therefore, endeavored to refine the VRIO framework, making it more transparent and empirically robust. To achieve this aim, the framework was combined with the decision-making trial and evaluation laboratory (DEMATEL) method (i.e. a multiple criteria decision analysis (MCDA) method), and a real-life application was conducted.

Findings

The evaluation system created was tested, and the results demonstrate that the dual methodology used can increase the understanding of resource appraisal and lead to more informed and potentially better evaluations of resources and capabilities. The strengths and shortcomings of this new structured evaluation model are also analyzed.

Originality/value

The authors know of no prior work reporting the integrated use of VRIO and DEMATEL in this study context.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

Keywords

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