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The growth in the number of nongovernmental organizations (NGOs) worldwide has led to increased competition for donations. A stronger NGO brand equity will make donors more attracted to an organization, compelling them to increase both their donations and their commitment. The goal of this study is to propose a novel donor-based brand equity model. The present study takes into consideration the special characteristics that donors confer to NGOs—specific examples of nonprofit organizations (NPOs) that demand higher moral capital. The suggested framework considers the donor's perspective of NGO brand equity and identifies new dimensions: familiarity (recall, brand strength and brand identification), associations (authenticity, reputation and differentiation) and commitment (attitudinal, emotional) by building on previous NPOs and consumer-based brand equity models.

Based on the analysis of the literature, the authors propose an NGO donor-based brand equity model, which the authors test with a convenience sample of 137 individuals through partial least squares structural equation modeling.

The results of this study demonstrate the positive effects of brand reputation, brand differentiation, brand identification and brand commitment on donor-based brand equity.

The novel proposed model will help NGO managers better understand the sources of brand equity from the donor's perspective and more efficiently manage their resources and activities to strengthen their NGO's brand equity.

This paper provides a novel, multidimensional NGO donor-based brand equity model that is oriented to the specific characteristics of NGOs; this orientation distinguishes it from previous NPOs and commercial brand equity models.

隨著全球的非政府組織的數目不斷增加, 爭取捐款的競爭也日趨激烈。一個強大的非政府組織品牌資產, 會吸引捐款者、使其對該組織更為關注, 因而驅使他們增加捐助和支持。本研究擬提出一個新穎的、以捐助者為基礎的品牌資產模型。我們這個建議, 考慮了捐助者賦予非政府組織的一些特徵, 而這些非政府組織是一些強烈要求更高道德資本的特殊例子。我們建議的框架, 考慮了捐助者如何從其角度看待非政府組織的品牌資產, 亦建立了新的層面, 這包括熟悉度 (回憶、品牌強度、品牌識別) 、關聯 (真確性、聲譽、差異化) 、以及支持度 (在態度上的、或在情感上的); 建立這框架, 是透過研究以往的非政府組織、以及以消費者為基礎的品牌資產模型, 並以此為基礎而完成的。

我們分析有關的文獻, 並以此為基礎, 提出一個以捐助者為基礎的非政府組織的品牌資產模型。我們使用偏最小平方法的結構方程模型, 並測試了隨便抽樣的137個獨立個體, 來試驗這個新模型。

研究結果顯示, 品牌信譽、品牌差異化、品牌識別和品牌忠誠度, 均會對以捐助者為基礎的品牌資產帶來正面的影響。

我們提出的新模型, 讓非政府組織的管理人員能從捐助者的角度、去進一步瞭解品牌資產的來源, 從而更能有效地管理資源和組織的活動, 以便強化組織的品牌資產。

研究提供了以非政府組織特徵為導向的一個、以捐助者為基礎的新穎而俱多層面的非政府組織品牌資產模型。這個研究取向、有別於過往的非營利組織或商業性的品牌資產模型。

This study aims to explore how haute cuisine excellence is and can be self-represented on the websites of three-star restaurants and juxtaposed onto the websites of external authoritative food guides.

In total, 26 French Michelin three-star restaurant websites and their reviews in the prominent Michelin and Gault and Millau dining guides were examined. This data was then processed using lexicometric software.

Five semantic universes emerged, showing that restaurants and dining guides do not emphasize the same elements of culinary excellence. While restaurant websites emphasize the charismatic leadership role of the chef through family history, professional recognition and vicarious learning, the two iconic guides are far from rating the criteria they claim to: For the Michelin Guide, criteria other than cuisine appear central. Conversely, Gault and Millau, far from its nouvelle cuisine principles advocating democratization at lower cost, insists on fine products.

It remains essential for restaurants to use a repertoire of cultural components and symbols, capitalize on the charismatic and architectural roles of their chef and showcase fine products that are representative of classical cuisine. Storytelling and dynamic narrative add-ons, regularly updated on large-audience social media, appear central to increasing restaurants’ perceived value, communicating innovation and attesting to their singularity and uniqueness.

To the best of the authors’ knowledge, this is the first empirical study to overlap the lexical perspectives of three-star restaurants and iconic guides’ websites.

In this paper, I argue that English could be of more relevance to the Arabian Gulf if we conceptualized it as an educational forum for familiarizing students with socio-linguistic conventions relating to a wide variety of text types and for sharpening their critical awareness of the political implications of the uses of English. I make my case against the backdrop of a particular local context in the Arabian Gulf: the current BA programme in English at the College of Arts and Social Science, Sultan Qaboos University, the Sultanate of Oman. I maintain that the programme is predicated upon conceiving of English as a field (or rather fields) of knowledge, as academic disciplines of English literature, linguistics and translation, each with its own sets of concepts and frames of reference. As such, the programme both falls short of being fully theoretically coherent and fails to take into account the recent educational developments in Oman. Drawing upon the theoretical construct of discourse, I propose an outline of an alternative BA programme in English that revolves around the uses of English and their political implications.

The study investigates the influence of ChatGPT on the labor market dynamics, aiming to provide a structured understanding of the changes induced by generative AI technologies.

An analysis of existing literature serves as the foundation for understanding the impact, while the supply and demand model helps assess the effects of ChatGPT. A text-mining approach is utilized to analyze the International Standard Occupation Classification, identifying occupations most susceptible to disruption by ChatGPT.

The study reveals that 32.8% of occupations could be fully impacted by ChatGPT, while 36.5% might experience a partial impact and 30.7% are likely to remain unaffected.

While this study offers insights into the potential influence of ChatGPT and other generative AI services on the labor market, it is essential to note that these findings represent potential implications rather than realized labor market effects. Further research is needed to track actual changes in employment patterns and job market dynamics where these AI services are widely adopted.

This paper contributes to the field by systematically categorizing the level of impact on different occupations, providing a nuanced perspective on the short- and long-term implications of ChatGPT and similar generative AI services on the labor market.

The paper focusses on festivals taking place in coastal regions whose central element is seafood. The purpose is to analyse the role of seafood festivals as potential tourist attractions for local development. The decision to focus on coastal areas is based on a perceived knowledge gap regarding the interactions between different sectors of the sea economy.

Qualitative exploratory case studies of seafood festivals in Italy and Sweden have been performed using an analytical model. The participatory observation methodology contributed to a better understanding of the phenomenon.

The analysis shows the close relationship between seafood and tourism, and although it takes variable forms, food is a fundamental lever for maritime and coastal tourism and local development. Findings suggest that local food events can help strengthening gastronomic identities, despite there is a different articulation between tradition and marketing in the two countries.

Since this paper represents an exploratory study of five seafood festivals, research needs to be extended and replicated before any findings can be generalized. However, the model is flexible enough to be tested in different food events.

Food events represent a key instrument for the integration of territorial policies in which tourism and food products might be used as strategic instruments for the development of coastal areas.

This paper is a first attempt to analyse and compare seafood events, contributing to filling the gap in event literature referring to coastal areas. The model introduced can be used to determine the articulation of tradition-marketing in different food events.

The purpose of this paper is to develop an innovative branding method based on the hermeneutical approach and interpretive theory, to respond to the need of a simple and effective tool to build corporate identity through an industrial brand identity design and, being a new business, has been considered the brand perception of their stakeholders as the main input to analyze.

The case study of a small- and medium-sized enterprise (SME), that produces nanomaterials for the business-to-business (B2B) industrial market, is used to design the new hermeneutic branding method. The methodology process has been structured in four phases that have marked the investigation and that correspond to four different levels of knowledge that, in succession, between them, constituted the so-called hermeneutic circle.

This new approach allowed us to understand the social phenomenon related to the brand: its characteristic, context and the brand itself. Though hermeneutic analysis has confirmed that business strategy is only part of a more complex system of brand management, it must also consider the competitive environment and the views of the stakeholders.

This paper contributes to research on industrial branding by adopting the hermeneutical approach in managerial practice. This paper is the first of its kind in detail modelling the design phases of a B2B brand, providing an operational tool for marketing specialists.

There is a lack of research studies in the methods for designing industrial brands. The contribution of this paper lies in proposing a new interpretative approach that, acknowledging the different expectations of the stakeholder in the supply chain, allows to draw a B2B brand that communicates the system values of the product and company.

This study is motivated to provide a theoretically informed, data-driven assessment of the consequences associated with the participation of non-human bots in social accountability movements; specifically, the anti-inequality/anti-corporate #OccupyWallStreet conversation stream on Twitter.

A latent Dirichlet allocation (LDA) topic modeling approach as well as XGBoost machine learning algorithms are applied to a dataset of 9.2 million #OccupyWallStreet tweets in order to analyze not only how the speech patterns of bots differ from other participants but also how bot participation impacts the trajectory of the aggregate social accountability conversation stream. The authors consider two research questions: (1) do bots speak differently than non-bots and (2) does bot participation influence the conversation stream.

The results indicate that bots do speak differently than non-bots and that bots exert both weak form and strong form influence. Bots also steadily become more prevalent. At the same time, the results show that bots also learn from and adapt their speaking patterns to emphasize the topics that are important to non-bots and that non-bots continue to speak about their initial topics.

These findings help improve understanding of the consequences of bot participation within social media-based democratic dialogic processes. The analyses also raise important questions about the increasing importance of apparently nonhuman actors within different spheres of social life.

The current study is the first, to the authors’ knowledge, that uses a theoretically informed Big Data approach to simultaneously consider the micro details and aggregate consequences of bot participation within social media-based dialogic social accountability processes.

This paper examines the contested value of healthy life and wellbeing in a context of severe austerity, exploring how the value of “Public Health” is constructed through and with material-discursive practices and accounting representations. It seeks to explore the political and ethical implications of constructing the valuable through a shared consensus over the “facts” when addressing complex, multi-agency problems with long time horizons and outcomes that are not always easily quantifiable.

The theorisation, drawing on science and technology studies (STS) scholars and Karen Barad's (2007) agential realism, opens up the analysis to the performativity of both material and discursive practices in the period following a major re-organisation of activity. The study investigates two case authorities in England and the national regulator through interviews, observations and documentary analysis.

The paper demonstrates the deeply ethical and political entanglements of accounting representations as objectivity, consensus and collective action are constructed and resisted in practice. It goes on to demonstrate the practical challenges of constructing “alternative accounts” and “intelligent accountabilities” through times of austerity towards a shared sense of public value and suggests austerity measures make such aims both more challenging and all the more essential.

Few studies in the accounting literature have explored the full complexity of valuation practices in non-market settings, particularly in a public sector context; this paper, therefore, extends familiar conceptual vocabulary of STS inspired research to further explore how value(s), ethics and identity all play a crucial role in making things valuable.