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The practice of destination branding for cities has been increasingly adopted by communities of all sizes and has enjoyed success to varying degrees. The focus of many of these branding initiatives has frequently been on the creative elements of logo, tagline, and advertising theme, with only limited consideration for the importance of generating stakeholder support and experience delivery. Active stakeholder engagement, to build the brand from the inside out during its planning process, has been shown to be an important factor in those initiatives that are considered more successful. This chapter highlights the need to engage stakeholders in the brand planning for destinations from the earliest stages. It illustrates a consultative model for destination brand planning, primary with a US case study, along with examples of some other cities.

To achieve a full understanding of the role of marketing from plan to profit requires a knowledge of the basic building blocks. This textbook introduces the key concepts in the art or science of marketing to practising managers. Understanding your customers and consumers, the 4 Ps (Product, Place, Price and Promotion) provides the basic tools for effective marketing. Deploying your resources and informing your managerial decision making is dealt with in Unit VII introducing marketing intelligence, competition, budgeting and organisational issues. The logical conclusion of this effort is achieving sales and the particular techniques involved are explored in the final section.

This paper aims to examine the unique Chinese context by analyzing the city labels (e.g. smart city and eco city) used by Chinese local governments at or above the provincial capital level to represent themselves (adopted city labels) and the developmental pathways they actually pursued (adopted developmental pathways).

The authors compared the city brand choices to those anticipated based on their geographic and economic contexts (predicted city labels and developmental pathways) as well as the directives outlined in national planning documents (imposed city labels and developmental pathways). The authors identified ten main categories of city labels used to designate themselves and establish the frequency of their use based on municipal plan documents, economic and geographic data and national plan documents and policy reports, respectively.

The authors discovered that both local economic development and geographic factors, as well as top-down administrative influences, significantly impact city branding strategies in the 38 Chinese cities studied. When these models fall short in predicting adopted city labels and pathways, it is often because cities favor a service-oriented reputation over a manufacturing-focused one, and they prefer diverse, multifaceted industrial images to uniform ones.

The originality and value of this paper lie in its contribution to the academic literature on city branding by developing a predictive model for brand development at the municipal level, with explicit attention to the national-local nexus. The paper’s approach differs from existing research in the first cluster of city branding by not addressing issues of stakeholder involvement or adoption and implementation processes. Additionally, the paper’s focus on the political power dynamics at the national level and urban governance details at the municipal level provides a unique perspective on the topic. Overall, this paper provides a valuable contribution to the field of city branding by expanding the understanding of brand development and its impact on the socioeconomic environment.

Owning to the influence small retailers have on the customer’s final choice, the purpose of this paper is to investigate the factors that dominate small retailer’s assortment planning decisions. Drivers of product adoption by small retailers are the focus of study. Earlier research works have primarily focused on the profit oriented factors of retailing. It is a multidimensional approach of understanding the decision making of small retailers.

The study is an exploratory in nature, using a mixed method approach that involves both qualitative and quantitative methodology. In the first stage of the study, grounded theory has been adopted that helps in building a conceptual model, which is further validated using SEM. Rural areas of Jammu and Punjab have been targeted to collect data.

The study provides a conceptual model of product assortment planning for small retailers. The results indicate retail margin, which is the most important criterion toward product selection. Small retailers understand the customer profile and their catchment before selecting a product for their store. Store design is an important variable which impacts the number of categories kept in the store as the shelf space is limited. While determining the assortment planning for the store the retailers need to think in advance about buyer, supplier, environmental and the surplus oriented factors while determining the assortment planning for the store.

In developing economies like India, major population (customers) lie in the rural areas of the country and prefer small retailers to shop their daily necessities. The study proposed that the manufacturers need to maintain good and healthy relationship with the associates of the channel and the retailers that are in connected with the end consumer. Marketing managers of firms with target audience as small retailers can draw many inferences from the present study. They may devise rural strategies keeping attributes like localization of supplier, doorstep delivery, supply frequency, etc., on the basis of product demand and attribute.

This paper fulfills an identified need to explore the assortment planning criteria of BOP retailers in India. Also the mixed methodology is attractive and new in the retail domain.

This study developed a new interpretation of the attitude contagion theory, with the information adoption model (IAM) as the theoretical basis. A review of electronic word-of-mouth studies was conducted by using informational and individual determinants to develop an integrated empirical model that identified the antecedents and consequences of consumer attitude toward online reviews.

This study recruited 750 members of Facebook beauty fan pages in Taiwan and used the structural equation model to test research hypotheses.

Results revealed that perceived “ electronic word-of mouth (eWOM) credibility of online reviews” and “product involvement” could be used to explain the effects of attitude toward online reviews. Regarding the attitude contagion effect, the effect of “attitude toward online review” on both “attitude toward a product” and “attitude toward a brand” is stronger than that on “eWOM adoption.”

This paper provides valuable insights into the antecedents, consequences and mediating mechanisms that determine consumer attitude toward online reviews.

This special “Anbar Abstracts” issue of the Journal of Product & Brand Management is split into six sections covering abstracts under the following headings: Marketing strategy; Customer service; Pricing; Promotion; Marketing research, customer behavior; Product management.

This special “Anbar Abstracts” issue of the Journal of Business & Industrial Marketing is split into seven sections covering abstracts under the following headings: Marketing strategy; Customer service; Sales management; Promotion; Product management; Marketing research/customer behavior; Sundry.

This study aims to examine the blockchain landscape in supply chain management by drawing insights from academic and industry literature. It identifies the key drivers, categorizes the products involved and highlights the business values achieved by early adopters of blockchain technology within the supply chain domain. Additionally, it explores fingerprinting techniques to establish a robust connection between physical products and the blockchain ledger.

The authors combined the interpretive sensemaking systematic literature review to offer insights into how organizations interpreted their business challenges and adopted blockchain technology in their specific supply chain context; content analysis (using Leximancer automated text mining software) for concept mapping visualization, facilitating the identification of key themes, trends and relationships, and qualitative thematic analysis (NVivo) for data organization, coding and enhancing the depth and efficiency of analysis.

The findings highlight the transformative potential of blockchain technology and offer valuable insights into its implementation in optimizing supply chain operations. Furthermore, it emphasizes the importance of product provenance information to consumers, with blockchain technology offering certainty and increasing customer loyalty toward brands that prioritize transparency.

This research has several limitations that should be acknowledged. First, there is a possibility that some relevant investigations may have been missed or omitted, which could impact the findings. In addition, the limited availability of literature on blockchain adoption in supply chains may restrict the scope of the conclusions. The evolving nature of blockchain adoption in supply chains also poses a limitation. As the technology is in its infancy, the authors expect that a rapidly emerging body of literature will provide more extensive evidence-based general conclusions in the future. Another limitation is the lack of information contrasting academic and industry research, which could have provided more balanced insights into the technology’s advancement. The authors attributed this limitation to the narrow collaborations between academia and industry in the field of blockchain for supply chain management.

Practitioners recognize the potential of blockchain in addressing industry-specific challenges, such as ensuring transparency and data provenance. Understanding the benefits achieved by early adopters can serve as a starting point for companies considering blockchain adoption. Blockchain technology can verify product origin, enable truthful certifications and comply with established standards, reinforcing trust among stakeholders and customers. Thus, implementing blockchain solutions can enhance brand reputation and consumer confidence by ensuring product authenticity and quality. Based on the results, companies can align their strategies and initiatives with their needs and expectations.

In essence, the integration of blockchain technology within supply chain provenance initiatives not only influences economic aspects but also brings substantial social impacts by reinforcing consumer trust, encouraging sustainable and ethical practices, combating product counterfeiting, empowering stakeholders and contributing to a more responsible, transparent and progressive socioeconomic environment.

This study consolidates current knowledge on blockchain’s capacity and identifies the specific drivers and business values associated with early blockchain adoption in supply chain provenance. Furthermore, it underscores the critical role of product fingerprinting techniques in supporting blockchain for supply chain provenance, facilitating more robust and efficient supply chain operations.

This special “Anbar Abstracts” issue of the Marketing Intelligence & Planning is split into seven sections covering abstracts under the following headings: Marketing Strategy; Customer Service; Sales Management; Promotion; Marketing Research/Customer Behaviour; Product Management; Logistics and Distribution and Sundry.

Addresses the issue of the adoption of generic drugs by general medical practitioners in the National Health Service in England. The adoption and buyer behaviour of GPs is of central importance to the pharmaceutical industry and to the Government. Reports research based on the theories of perceived risk and work simplification, set in the context of the growing pressure on doctors to contain total prescribing costs. Based on the findings of in‐depth research interviews with 39 GPs, concludes that perceived risk on the part of the GP is a significant determinant of generic drug adoption and that the desire to simplify work load decisions is also important.