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Amidst escalating sustainability challenges, product and brand managers face a pressing need to foster responsible consumption and marketing strategies. Guided by the theory of planned behavior, this paper aims to explore consumers’ motivation to purchase second-hand clothing, a type of product that contributes to Sustainable Development Goal (SDG) 12 on Responsible Consumption and Production by democratizing the brand, extending the life-cycle of the product, promoting a circular economy, while reducing economic costs for consumers and environmental costs for companies.

A two-stage study was conducted: 20 consumers were initially interviewed to identify the salient beliefs about second-hand clothing, and following that, a survey was conducted with 449 consumers to statistically analyze consumers’ motivation to purchase second-hand clothing. The data were analyzed using partial least squares-structural equation modeling (PLS-SEM) and necessary condition analysis (NCA).

From a “should-have” perspective (PLS-SEM), the study reveals that behavioral beliefs, injunctive normative beliefs, descriptive normative beliefs and control beliefs positively shape attitudes, injunctive norms, descriptive norms and perceived behavioral control toward second-hand clothing, whereas attitudes, injunctive norms, moral norms and perceived behavioral control positively influence consumers’ purchases of second-hand clothing. From a “must-have” perspective (NCA), the study shows that behavioral beliefs, injunctive normative beliefs and descriptive normative beliefs are necessary conditions to positively shape attitudes, injunctive norms and descriptive norms toward second-hand clothing, whereas attitudes, injunctive norms and perceived behavioral control are necessary conditions to stimulate second-hand clothing purchases.

The study offers a deep dive into consumers’ motivation to purchase second-hand clothing using a multimethod approach that enables not only the elicitation of salient beliefs (through interviews) but also the empirical examination of these beliefs alongside varying subjective norms in motivating consumers to purchase second-hand clothing (via survey). Given that beliefs are deeply rooted, the rigorous unfolding and validation of consumers’ beliefs about second-hand clothing, including the “should-haves” versus the “must-haves,” provide finer-grained insights that product and brand managers can strategically use to encourage consumers to purchase second-hand clothing.

The purpose of this research is to investigate the influence of perceived social media marketing activities on consumer-based brand equity, mainly predicated on the S-O-R model. Furthermore, brand experience is tested as a mediator of the relationship between perceived social media marketing activities and consumer-based brand equity, whereas co-creation behaviour is also examined as a moderator on the relationship between perceived social media marketing activities and brand experience.

A structured survey questionnaire was developed and distributed to social media users from a large private university in Malaysia. A total of 253 valid responses were obtained. Hypotheses were tested employing partial least squares structural equation modelling (PLS-SEM).

The results indicated that perceived social media marketing activities have a significant positive influence on consumer-based brand equity. In addition, brand experience mediates the relationship between perceived social media marketing activities and consumer-based brand equity. Surprisingly, co-creation behaviour was found to have no moderating effect on the relationship between perceived social media marketing activities and brand experience. Furthermore, using the PROCESS macro, we found that the indirect effect of perceived social media marketing activities on consumer-based brand equity through brand experience is not moderated by co-creation behaviour.

This research further extended the current knowledge by demonstrating that the influence of perceived social media marketing activities on consumer-based brand equity is mediated by brand experience. Also, this research utilised the strength of PLS–SEM in dealing with higher-order constructs, allowing us to develop and test a parsimonious model that is useful for practitioners.

This paper aims to understand the impact of service quality on corporate image and customer satisfaction. Furthermore, this study also examined the influence of corporate image and customer satisfaction on revisit intention and word of mouth. The mediation effect of corporate image and customer satisfaction on the relationships between service quality–revisit intention and service quality–word of mouth was also examined.

This study used the survey questionnaire method and collected data from 253 respondents comprising of customers who had karaoke singing experience in the Karaoke television (KTV). The partial least squares structural equation modeling was used in this study.

This study found that service quality has a significant positive influence on corporate image and customer satisfaction. Corporate image does not have a significant influence on revisit intention but has a significant positive influence on word of mouth. Furthermore, customer satisfaction has a significant positive influence on revisit intention and word of mouth. The mediation effect of corporate image and customer satisfaction is also found to be significant for most of the relationships.

This study showed the importance of service on customers’ reactions and behaviors in the KTV context, which have not been previously investigated. Businesses should always provide superior service quality to their customers because it impacts their subsequent behaviors such as revisit intention and word of mouth.

The current paper is an attempt to evaluate the role of CBOs in promoting citizen participation in the decision-making process of local government institutions of Gujranwala, Punjab, Pakistan. Among the most used evaluation techniques of participatory citizenship, the researchers have used an outcome driven approach based on “social goals.” Specifically, the purpose of this paper is to explore the extent to which CBOs have been effectual for the promotion of participatory citizenship in decision making of local government institutions in Punjab, Pakistan. In addition, the paper also explores the influence and success level of CBOs in incorporating the preferences and needs of public in decision-making of local government services.

For this purpose, data have been collected through a self-administered survey questionnaire including both open and close-ended questions. A total of 424 questionnaires were collected from citizens, local government officials and CBO members. Standard survey techniques such as frequency distribution and comparative analyses were used for data analysis.

In assessing the role of CBOs in educating all the stakeholders and the general public as well as to ascertain the incorporation of public needs and values into local government decision making, the paper finds that the effectiveness of CBOs is very low to fulfill its objectives. The study suggests the need to have more programs to educate CBOs, enhance public awareness campaigns and also to put into place proper mechanisms to incorporate and evaluate the public needs.

This paper fulfills the much-needed research gap by the exploring the unknown contribution of CBOs in Pakistan. The paper has added value to the current literature by highlighting that unless there is strong political will and eagerness of local bureaucracy to give up their powers, the inclusion of citizen participation through CBOs in decision making of local government would just be a futile exercise.

This chapter contributes to the overall tourist satisfaction to local economies using sustainable practices. The aim therefore is to analyse to what extent the characteristics of a product and service can bridge the gap between locals and visitors. This chapter is based on secondary data. We find evidence for six themes which are considered to be the most theoretical issue affecting the studies on street food in tourism considered in the analysis.

Results show that street food tourism, as a new paradigm, can be a viable option while thinking the process of sustainable tourism development in emerging destinations. Our findings have clear implications for the fast growing literature on overtourism and related perverse impacts (conceptual contribution) giving also additional options to Destination Marketing Organisations' (DMOs) managers in terms of strategy to combat tourismphobia analysed in the study. Proposals for future research will also be outlined.

The purpose of this paper is to explain why Singapore has succeeded in curbing the problem of police corruption and to identify the six lessons which other Asian countries can learn from Singapore's experience.

The paper analyzes the causes of police corruption in Singapore during the British colonial period and describes the measures adopted by the People's Action Party government after assuming office in June 1959 to curb police corruption. The effectiveness of these measures is assessed by referring to Singapore's perceived extent of corruption according to three international indicators and the reported cases of police corruption from 1965 to 2011.

The Singapore Police Force has succeeded in minimizing police corruption by improving salaries and working conditions, cooperating with the Corrupt Practices Investigation Bureau, enhancing its recruitment and selection procedures, providing training and values education for its members, and adopting administrative measures to reduce the opportunities for corruption. Other Asian countries afflicted with rampant police corruption can learn six lessons from Singapore's success.

This paper will be of interest to those policy makers, scholars, and anti-corruption practitioners, who are interested in learning how Singapore has succeeded in curbing police corruption.

A review on additive manufacturing (AM) of shape memory polymer composites (SMPCs) is put forward to highlight the progress made up to date, conduct a critical review and show the limitations and possible improvements in the different research areas within the different AM techniques. The purpose of this study is to identify academic and industrial opportunities.

This paper introduces the reader to three-dimensional (3 D) and four-dimensional printing of shape memory polymers (SMPs). Specifically, this review centres on manufacturing technologies based on material extrusion, photopolymerization, powder-based and lamination manufacturing processes. AM of SMPC was classified according to the nature of the filler material: particle dispersed, i.e. carbon, metallic and ceramic and long fibre reinforced materials, i.e. carbon fibres. This paper makes a distinction for multi-material printing with SMPs, as multi-functionality and exciting applications can be proposed through this method. Manufacturing strategies and technologies for SMPC are addressed in this review and opportunities in the research are highlighted.

This paper denotes the existing limitations in the current AM technologies and proposes several directions that will contribute to better use and improvements in the production of additive manufactured SMPC. With advances in AM technologies, gradient changes in material properties can open diverse applications of SMPC. Because of multi-material printing, co-manufacturing sensors to 3D printed smart structures can bring this technology a step closer to obtain full control of the shape memory effect and its characteristics. This paper discusses the novel developments in device and functional part design using SMPC, which should be aided with simple first stage design models followed by complex simulations for iterative and optimized design. A change in paradigm for designing complex structures is still to be made from engineers to exploit the full potential of additive manufactured SMPC structures.

Advances in AM have opened the gateway to the potential design and fabrication of functional parts with SMPs and their composites. There have been many publications and reviews conducted in this area; yet, many mainly focus on SMPs and reserve a small section to SMPC. This paper presents a comprehensive review directed solely on the AM of SMPC while highlighting the research opportunities.

The purpose of this paper is to extend existing knowledge of 4D printing, in line with Khoo et al. (2015) who defined the production of 4D printing using a single material, and 4D printing of multiple materials. It is proposed that 4D printing can be achieved through the use of functionally graded materials (FGMs) that involve gradational mixing of materials and are produced using an additive manufacturing (AM) technique to achieve a single component.

The latest state-of-the-art literature was extensively reviewed, covering aspects of materials, processes, computer-aided design (CAD), applications and made recommendations for future work.

This paper clarifies that functionally graded additive manufacturing (FGAM) is defined as a single AM process that includes the gradational mixing of materials to fabricate freeform geometries with variable properties within one component. The paper also covers aspects of materials, processes, CAD, applications and makes recommendations for future work.

This paper examines the relationship between FGAM and 4D printing and defines FGAM as a single AM process involving gradational mixing of materials to fabricate freeform geometries with variable properties within one component. FGAM requires better computational tools for modelling, simulation and fabrication because current CAD systems are incapable of supporting the FGAM workflow.

It is also identified that other factors, such as strength, type of materials, etc., must be taken into account when selecting an appropriate process for FGAM. More research needs to be conducted on improving the performance of FGAM processes through extensive characterisation of FGMs to generate a comprehensive database and to develop a predictive model for proper process control. It is expected that future work will focus on both material characterisation as well as seamless FGAM control processes.

This paper examines the relationship between FGAM and 4D printing and defines FGAM as a single AM process that includes gradational mixing of materials to fabricate freeform geometries with variable properties within one component.

As one of the United Nations Educational, Scientific and Cultural Organization initiatives, the creative cities network (CCN) declares the cities that are creative in the contexts of music, gastronomy, design, etc., with the aim of promoting cooperation amongst the member cities and maintaining sustainable urban development. This study aims to identify the destination food image of Gaziantep in Turkey, which is a member gastronomy city of the CCN since 2015. Identified destination food image elements were connected to the common targets of the CCN to show how the city may contribute to the network objectives.

A two-stage research process was used in the study. First, qualitative approach was adopted for the clarification of projected and perceived destination food image elements. Projected image elements were derived from a content analysis performed on a totally 113 official, semi-official and unofficial online documents in Turkish and English. Perceived destination food image elements were identified by face-to-face interviews, conducted on 10 participants. As a result, 18 projected and 20 perceived destination food image elements were obtained. These were then grouped under 4 main and 22 sub-categories. At the second stage, destination food image elements were matched with common targets of the CCN.

Destination food image elements, obtained by two qualitative studies, are grouped under 4 main and 22 sub-categories as follows: gastronomic identity (with sub-categories of destination’s identity and local culinary culture); diversity of the destination (with sub-categories of attractiveness of the local food, ease of promotion and high brand value); gastronomic attractions (with sub-categories of restaurants and cafes, culinary museums, farmer markets, orchards, gastronomy tours, gastronomy events (e.g. festivals, competitions), culinary education, books on gastronomy, certification systems, organizations, street foods and vendors and handmade or homemade foods); and qualified workforce and stakeholders (with sub-categories of expert chefs and cooks, specialist suppliers, service personnel, locals and local authorities). These are then connected to the common CCN targets (e.g. cuisine, tourism and festivals; extension of the creative value chain; fostering cultural creativity; and sustainability).

This is one of the early research attempts in examining a member gastronomy city’s food image elements and the role that they played in the success of the CCN’s common targets. Moreover, the study contributes to the literature on the identification of (projected and perceived) destination food image by using content analysis.

This study aims to investigate three common approaches – quantitative blog features analysis, content analysis, and community identification – to detect influence in the blogosphere (i.e. among blog posts).

Quantitative analysis of blog features, together with manual sentiment and agreement analysis and community identification, were performed on blog postings and their content. Correlation studies of the selected influential variables were conducted to determine the effectiveness of each variable.

Agreement expressed by the linking blogger with the linked blogger, similar sentiments expressed by both bloggers on common topics, and community identity are statistically significant features for detecting influence in the linked blogs.

A small data set of 196 blog posting pairs was used for the study as the blog features and content are analysed manually. Nonetheless statistical analysis on the data set identified significant features that could be used in future studies to automate the influence detection process.

Knowing the effects of blog features and content analysis in detecting influence among blog posts allows a better influence detection method to determine the main chain of information propagation within the blogosphere and the identities of influential bloggers.

The approach of using blog features, content analysis, and community identity provides a comprehensive evaluation of influence in the blogosphere. Unlike previous content analysis approaches that measure document similarity (i.e. common terms) between linked blog posts, our study applies sentiment and agreement analysis to consider the context of the whole blog post content.