Kannan Vignesh, Dev Kumar Yadav, Dadasaheb Wadikar and Anil Dutt Semwal
Plant-based meat analogues (PBMAs) hold significant promise as a sustainable solution to meet future protein demands, replicating the taste and nutritional value of meat. However…
Abstract
Purpose
Plant-based meat analogues (PBMAs) hold significant promise as a sustainable solution to meet future protein demands, replicating the taste and nutritional value of meat. However, the present reliance on extrusion technology in PBMA production limits the exploration of more accessible and affordable methods. The current investigation aims to meet the market demand for a scalable and cost-effective processing approach by exploring saturated steam-assisted technology that could broaden the production volume of PBMAs, thereby supplementing protein security and planet sustainability.
Design/methodology/approach
A one-factor-at-a-time (OFAT) approach is employed to evaluate the effect of ingredients and process conditions on the governing quality attributes (texture, colour and sensory).
Findings
Among the ingredients, monosodium glutamate (MSG) and nutritional yeast (NY) significantly enhanced the hardness and chewiness of saturated steam-assisted plant-based meat analogues (ssPBMAs) followed by potato protein isolate (PPI), defatted soy flour (DSF) and salt. The addition of PPI and DSF led to a decrease in lightness (L* value) and an increase in the browning index (BI). Sensory evaluations revealed that higher concentrations of DSF imparted a noticeable beany flavour (>20%), whereas PPI (30%) improved the overall sensory appeal. Increased levels of NY (10%) and MSG (5%) enhanced the umami flavour, enhancing consumer preference. Higher thermal exposure time (TTi) (45 min) and temperature (TTe) (120 °C) during processing resulted in softer products with reduced L* values. These findings establish a foundation for selecting and optimizing the ingredients and processing parameters in ssPBMA production.
Originality/value
The novelty of the current study includes process behaviour of selected ingredients such as PPI, NY, MSG, DSF, salt and adopted process conditions, namely, dough processing time (DPT), protein network development time (PNDT), TTi and TTe on the quality of ssPBMAs.
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Bhawna Bhawna, Prinka Dogra, Umair Akram and Sanjeev Kumar Sharma
In light of the rapidly evolving global work environment and the unique needs of startups, this study investigates the potential of gamified practices (GP) as a human resource…
Abstract
Purpose
In light of the rapidly evolving global work environment and the unique needs of startups, this study investigates the potential of gamified practices (GP) as a human resource management tool to enhance employer branding (EB).
Design/methodology/approach
Data were collected from employees in Indian startup companies (N = 1,842) through a structured questionnaire. The study used Smart-PLS for variance-based structural equation modeling (SEM) analysis.
Findings
The results indicate that GP significantly influences IM, which is the internal desire to perform a task due to the enjoyment it brings, and JA, which is the level of independence and freedom given to an employee in their job, as parallel mediators between GP and EB. Further, prior perceptions of the employer brand (PPEB), which refer to the pre-existing beliefs and attitudes employees hold about the employer brand, moderate the relationship between GP and JA, highlighting that individuals with varying PPEB respond differently to JA facilitated through GP.
Practical implications
The study’s findings underscore the importance of tailoring GP experiences to individual needs and prior brand perceptions for optimal results. Furthermore, it highlights GP as a potent tool for shaping positive employer brand perceptions, particularly when it aligns with an organization’s values and offers an engaging, competitive and realistic experience.
Originality/value
This study contributes to the field by addressing the underexplored impact of GP on EB within the dynamic startup ecosystem. It explores the mediating roles of IM and JA and the moderating effect of PPEB, shedding light on the dynamic relationships between gamified practices and EB.
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Hassnian Ali and Ahmet Faruk Aysan
The purpose of this study is to comprehensively examine the ethical implications surrounding generative artificial intelligence (AI).
Abstract
Purpose
The purpose of this study is to comprehensively examine the ethical implications surrounding generative artificial intelligence (AI).
Design/methodology/approach
Leveraging a novel methodological approach, the study curates a corpus of 364 documents from Scopus spanning 2022 to 2024. Using the term frequency-inverse document frequency (TF-IDF) and structural topic modeling (STM), it quantitatively dissects the thematic essence of the ethical discourse in generative AI across diverse domains, including education, healthcare, businesses and scientific research.
Findings
The results reveal a diverse range of ethical concerns across various sectors impacted by generative AI. In academia, the primary focus is on issues of authenticity and intellectual property, highlighting the challenges of AI-generated content in maintaining academic integrity. In the healthcare sector, the emphasis shifts to the ethical implications of AI in medical decision-making and patient privacy, reflecting concerns about the reliability and security of AI-generated medical advice. The study also uncovers significant ethical discussions in educational and financial settings, demonstrating the broad impact of generative AI on societal and professional practices.
Research limitations/implications
This study provides a foundation for crafting targeted ethical guidelines and regulations for generative AI, informed by a systematic analysis using STM. It highlights the need for dynamic governance and continual monitoring of AI’s evolving ethical landscape, offering a model for future research and policymaking in diverse fields.
Originality/value
The study introduces a unique methodological combination of TF-IDF and STM to analyze a large academic corpus, offering new insights into the ethical implications of generative AI across multiple domains.
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Yudi Fernando, Ratih Hendayani, Muhammed Jawo, Syed Radzi Rahamaddulla, Khairunnisa Abdul Aziz and Nia Maimunah
This paper aims to examine the Islamic marketing literature to uncover potential customer adoption behaviours and enhance the effectiveness of blockchain-based halal logistics…
Abstract
Purpose
This paper aims to examine the Islamic marketing literature to uncover potential customer adoption behaviours and enhance the effectiveness of blockchain-based halal logistics services in catering to customer demands. The findings of this paper provide substantial contributions to the realms of both halal logistics services and Islamic marketing literature, delineating future paths for research. By delving into halal logistics practices, integration procedures and service provider performance, this paper assists stakeholders in enhancing halal logistics services to meet the changing demands of customers effectively.
Design/methodology/approach
This paper uses a systematic review incorporating bibliometric analysis to examine past and contemporary research topics, selecting and appraising contributions while analysing and consolidating data. A methodical approach has been used to identify, assess and incorporate pertinent studies on Islamic characteristics, traceability technology, blockchain integration and halal logistics practices.
Findings
After screening and analysing 139 selected documents with the VOS viewer, it is evident that among a 1,000 keywords, 15 stand out in terms of frequency and link strength. The research highlights the considerable academic interest in themes such as “blockchain”, “halal logistics” and “supply chain”, underscoring their importance. The findings of this paper help bridge the gap in Islamic marketing by linking technology with religious values. It suggests that the integration of blockchain technology in halal logistics enhances operational efficiency while aligning with both operational and Islamic marketing principles, promoting ethical conduct and transparency as key enablers.
Practical implications
The theoretical significance of this paper lies in establishing a correlation among three key research domains: technology, symbolised by blockchain; customer-centric operations, incorporating the halal supply chain and logistics within Islamic marketing. The outcomes reflect consumer behaviour and Shariah compliance. This integration has the potential to introduce innovative theoretical frameworks that encompass religious ethics in marketing, logistics and technological advancements.
Originality/value
This paper comprehensively analyses the intersection between blockchain technology, halal logistics, supply chain management and Islamic marketing. The paper has comprehensively analysed previous studies and outlined the future research path for blockchain technology in halal logistics and its application in Islamic marketing literature.