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Article
Publication date: 31 May 2021

Zalfa Laili Hamzah, Hazwani Abdul Wahab and Muhammad Waqas

The purpose of this study is to identify the customer perceptions of social media brand post characteristics that drive consumer engagement with the brand post. Furthermore, this…

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Abstract

Purpose

The purpose of this study is to identify the customer perceptions of social media brand post characteristics that drive consumer engagement with the brand post. Furthermore, this study identifies the customer-brand relationship outcomes resulting from the behavioural engagement on social media.

Design/methodology/approach

An online survey of 407 social media users was undertaken. Structural equation modelling was used to test all hypotheses.

Findings

The results indicated that consumers respond positively to interactive and/or novel posts. Furthermore, consumer engagement with brand posts positively influenced all customer-brand relationship facets including brand love and customer-brand identification.

Originality/value

This study contributes to closing the empirical gap in social media consumer engagement research by providing support for consumer perception of brand post’s characteristics as a significant factor triggering consumer engagement with the brand post. This study also provides evidence that consumer engagement with brand posts leads to customer-brand relationships.

Details

Journal of Research in Interactive Marketing, vol. 15 no. 2
Type: Research Article
ISSN: 2040-7122

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Article
Publication date: 20 October 2021

Noorul Shaiful Fitri Abdul Rahman, Nur Hazwani Karim, Rudiah Md Hanafiah, Saharuddin Abdul Hamid and Ahmed Mohammed

The warehouse industry is one of the backbones in the logistics operation which involves several activities i.e. storage, receiving, picking and shipping of goods/cargoes. This…

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Abstract

Purpose

The warehouse industry is one of the backbones in the logistics operation which involves several activities i.e. storage, receiving, picking and shipping of goods/cargoes. This study analyzes the most important warehouse productivity indicators for improving warehouse operation efficiency.

Design/methodology/approach

This study presents an empirical methodology of the fuzzy analytical hierarchy process (FAHP) method, an integration between the fuzzy logic method with an analytical hierarchy process (AHP) method incorporated with the adoption of quantitative and systems theories under the modern management theory approach.

Findings

The results indicate that the weight values of the main criteria which lead by the criterion “Space (0.4005)” at the top ranking, followed by Information System (0.2445), Labor (0.2065) and Equipment (0.1484). In addition, the weight values and ranking of the 16 sub-criteria are also highlighted which the sub-criterion “Warehouse Management System (0.2445)” scores the highest weight value and followed by Storage Space Utilization (0.1043) and Throughput (0.0722) accordingly.

Research limitations/implications

Finally, this research contributed to enrich the literature, while highlighting a series of recommendations on the top three most significant productivity performance indicators that can be useful in further research.

Originality/value

A generic analysis model developed with the adoption of three study theories: quantitative, system and productivity theories.

Details

International Journal of Productivity and Performance Management, vol. 72 no. 4
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 12 November 2024

Abdelsalam Adam Hamid, Emad Aldeen Essa Eshag, Nur Hazwani Karim and Noorul Shaiful Fitri Abdul Rahman

The purpose of this study is to investigate the impact of logistics capabilities on the relationship between information sharing (INS) and logistics performance of Sudanese…

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Abstract

Purpose

The purpose of this study is to investigate the impact of logistics capabilities on the relationship between information sharing (INS) and logistics performance of Sudanese industrial companies.

Design/methodology/approach

This descriptive study investigates the relationship between INS and logistics performance in Sudanese industrial companies. A five-point scale questionnaire surveyed a non-probability sample of 262 logistics, supply chain and operations managers. Structural equation modeling has been used to test the relationship between the variables.

Findings

The results revealed that there is no direct positive relationship between logistics INS and logistics performance, while there is an indirect relationship through logistics capabilities. The findings confirmed that there is a positive relationship between logistics INS and logistics capabilities.

Research limitations/implications

There are several limitations in this study. This study is limited to certain businesses and has a small sample size, which may impact the capacity to apply the findings to a broader context. The sample was based on the current manufacturing companies in Sudan, which are distinguished by certain characteristics in terms of number, business stability and other factors. Because of these factors, the findings may not accurately reflect the actual situation. Industrywise, this study focused on manufacturers, whereas logistics is based on a chain of partners and involved parties. Including them in any future investigation could lead to meaningful findings and discoveries. Furthermore, the data collection’s cross-sectional form may not comprehensively reflect the temporal dynamics of logistical activities. Future research may address these constraints by investigating the efficacy of diverse logistical capabilities in other businesses and circumstances. The construct of the variables is a single-dimension construct, which does not reflect all the practices associated with INS, logistics capabilities and logistics performance. Furthermore, there is an opportunity to explore further the impact of INS on important logistical performance metrics, such as order lead time, on-time delivery and inventory management. One potential area for future investigation is the study of logistics information-sharing technologies, specifically utilizing data analytics and machine learning. In such a context, deep insight and understanding of logistics capabilities and performance require more qualitative analysis; therefore, future research could fill this gap and provide deeper insight.

Practical implications

For practitioners in the small and medium-sized enterprise sector in Sudan, these findings suggest enhancing their operations, particularly by investing in information-sharing technologies that improve stakeholder coordination. Actively engage supply chain partners in the logistics information system to ensure timely and accurate information flows to all. However, it’s important to be aware of potential challenges, such as the high costs and complex design of these systems and potential resistance to change within businesses. Policymakers play a crucial role in this process, as they can use these findings to establish industry-wide standards or incentives that promote the use of advanced logistical capabilities; besides that, policymakers need to invest in building genuine information channels and systems that inform the industry and clear the ambiguity.

Originality/value

This study establishes a relationship between INS and logistics performance, which will be interpreted by logistics capabilities to enhance the logistics performance of Sudanese logistic businesses in an underdeveloped context characterized by a weak logistics industry and logistics capabilities. It suggests that companies should prioritize logistics INS and investment in INS technology to enhance their logistics capabilities.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

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