Facets of business-to-business brand equity: mixed-methods approach

2019 ◽  
Vol 37 (7) ◽  
pp. 754-769
Author(s):  
Priyanka Sharma ◽  
Raghu Nandan Sengupta ◽  
J. David Lichtenthal
Keyword(s):  
Brand Equity ◽  
Large Scale ◽  
Product Information ◽  
Generalized Method Of Moments ◽  
Structured Interviews ◽  
Data Set ◽  
Content Type ◽  
Explanatory Variables ◽  
Common Structure ◽  
Business To Business

Purpose The purpose of this paper is to highlight various aspects of business-to-business brand equity (B2BBE) and explain relative impact of marketing/advertising, research and development (R&D), human resource and distribution network to build compelling business brands that display better firm performance. Design/methodology/approach A total of 51 in-depth semi-structured interviews with distributors and industrial buyers revealed different facets of B2BBE. Generalized method of moments (GMM) was applied on a large-scale panel data set of industrial firms to estimate the effects of firms’ R&D, advertising/marketing, distribution and staff training (proxy to sources of B2BBE) on sales. Findings First, varying levels of product application criticality and end-customer brand stature reflect four distinct organizational purchase requirements, namely, assured performance, prestige, brand leaders and commodity. Second, a taxonomy of five sources of B2BBE (prominence, solutions, accessibility, relationships and network strength) manifests buyers’ interactive experience during the purchase cycle. Third, it illustrates the positive short-term effect of all explanatory variables coupled with the positive long-term impact of R&D on sales. Practical implications Features like B2C brand image, clear and precise product information, credit/flexible payment terms, distributor image, add-on services to the core product and upstream–downstream referrals characterize strong brands. GMM model results help managers, in budget allocation. Originality/value The originality of this paper lies in proposing a comprehensive B2BBE framework based on triangulation; deployment of a common structure to simultaneously investigate distributors and industrial buyers, to discover whether their philosophies reinforce/undermine industrial branding strategies; and suggesting the use of GMM model to arrive at actionable insights.

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

What makes the difference? Employee social media brand engagement

2019 ◽  
Vol 34 (7) ◽  
pp. 1459-1467 ◽  
Author(s):  
Sherese Y. Duncan ◽  
Raeesah Chohan ◽  
João José Ferreira
Keyword(s):  
Social Media ◽  
Brand Equity ◽  
Positive Emotions ◽  
Content Type ◽  
Word Use ◽  
Brand Engagement ◽  
Analytical Thinking ◽  
Industry Competition ◽  
The Difference ◽  
Business To Business

Purpose This paper aims to explore, using the employee lens of business-to-business firms, word use through brand engagement and social media interaction to understand the difference between employees who rate their employer brands highly on social media and those who don't. Design/methodology/approach We conducted a textual content analysis of posts published on the social media job evaluation site glassdoor.com. LIWC software package was used to analyze 30 of the top 200 business-to-business brands listed on Brandwatch using four variables, namely, analytical thinking, clout, authenticity and emotional tone. Findings The results show that employees who rate their employer’s brand low use significantly more words, are significantly less analytic and write with significantly more clout because they focus more on others than themselves. Employees who rate their employer’s brand highly, write with significantly more authenticity, exhibit a significantly higher tone and display far more positive emotions in their reviews. Practical implications Brand managers should treat social media data disseminated by individual stakeholders, like the variables used in this study (tone, word count, frequency), as a valuable tool for brand insight on their industry, competition and their own brand equity, now and especially over time. Originality/value This study provides acknowledgement that social media is a significant source of marketing intelligence that may improve brand equity by better understanding and managing brand engagement.

Value co-creation in the B2B context: a diagnosis of knowledge management based on multiple case studies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Andrei Bonamigo ◽  
Camila Guimarães Frech ◽  
Ana Carolina Custódio Lopes
Keyword(s):  
Empirical Studies ◽  
Structured Interviews ◽  
Content Type ◽  
Knowledge Based ◽  
Multiple Case ◽  
Multiple Case Studies ◽  
Knowledge Asymmetry ◽  
Business To Business ◽  
Practical Implications

Purpose This study aims to empirically investigate how organizations delivering services in business-to-business relations deal with the boundary paradox and knowledge asymmetry in value co-creation. Design/methodology/approach This study adopted a qualitative multiple case study strategy. Datas were gathered through 13 semi-structured interviews that were then analyzed through the content analysis. Findings The authors identified three mechanisms that organizations use to deal with the boundary paradox and two strategies to handle the knowledge asymmetry. Research limitations/implications First, no opportunities were afforded to involve more participants. Second, owning to confidentiality reasons, not all organizations provided us documents to be analyzed. Practical implications The findings guide managers in balancing the use of contracts and trust in inter-firm collaborations and fostering the learning of customers. Also, insights to protect knowledge based on the paradox of openness in value co-creation. Originality/value This study’s findings address the gap in value co-creation literature concerning the lack of empirical studies.

Different firm responses to the COVID-19 pandemic shocks: machine-learning evidence on the Vietnamese labor market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lam Hoang Viet Le ◽  
Toan Luu Duc Huynh ◽  
Bryan S. Weber ◽  
Bao Khac Quoc Nguyen
Keyword(s):  
Machine Learning ◽  
Labor Market ◽  
Large Scale ◽  
Government Support ◽  
Policy Implications ◽  
Machine Learning Techniques ◽  
Firm Characteristics ◽  
Data Set ◽  
Content Type ◽  
Firm Responses

PurposeThis paper aims to identify the disproportionate impacts of the COVID-19 pandemic on labor markets.Design/methodology/approachThe authors conduct a large-scale survey on 16,000 firms from 82 industries in Ho Chi Minh City, Vietnam, and analyze the data set by using different machine-learning methods.FindingsFirst, job loss and reduction in state-owned enterprises have been significantly larger than in other types of organizations. Second, employees of foreign direct investment enterprises suffer a significantly lower labor income than those of other groups. Third, the adverse effects of the COVID-19 pandemic on the labor market are heterogeneous across industries and geographies. Finally, firms with high revenue in 2019 are more likely to adopt preventive measures, including the reduction of labor forces. The authors also find a significant correlation between firms' revenue and labor reduction as traditional econometrics and machine-learning techniques suggest.Originality/valueThis study has two main policy implications. First, although government support through taxes has been provided, the authors highlight evidence that there may be some additional benefit from targeting firms that have characteristics associated with layoffs or other negative labor responses. Second, the authors provide information that shows which firm characteristics are associated with particular labor market responses such as layoffs, which may help target stimulus packages. Although the COVID-19 pandemic affects most industries and occupations, heterogeneous firm responses suggest that there could be several varieties of targeted policies-targeting firms that are likely to reduce labor forces or firms likely to face reduced revenue. In this paper, the authors outline several industries and firm characteristics which appear to more directly be reducing employee counts or having negative labor responses which may lead to more cost–effect stimulus.

Computational modeling of Weibo user influence based on information interactive network

2016 ◽  
Vol 40 (7) ◽  
pp. 867-881 ◽  
Author(s):  
Dingguo Yu ◽  
Nan Chen ◽  
Xu Ran
Keyword(s):  
Social Networks ◽  
Computational Model ◽  
Large Scale ◽  
Mobile Internet ◽  
Activity Level ◽  
Message Content ◽  
Data Set ◽  
Sina Weibo ◽  
Content Type ◽  
User Influence

Purpose With the development and application of mobile internet access, social media represented by Weibo, WeChat, etc. has become the main channel for information release and sharing. High-impact users in social networks are key factors stimulating the large-scale propagation of information within social networks. User influence is usually related to the user’s attention rate, activity level, and message content. The paper aims to discuss these issues. Design/methodology/approach In this paper, the authors focused on Sina Weibo users, centered on users’ behavior and interactive information, and formulated a weighted interactive information network model, then present a novel computational model for Weibo user influence, which combined multiple indexes such as the user’s attention rate, activity level, and message content influence, etc., the model incorporated the time dimension, through the calculation of users’ attribute influence and interactive influence, to comprehensively measure the user influence of Sina Weibo users. Findings Compared with other models, the model reflected the dynamics and timeliness of the user influence in a more accurate way. Extensive experiments are conducted on the real-world data set, and the results validate the performance of the approach, and demonstrate the effectiveness of the dynamics and timeliness. Due to the similarity in platform architecture and user behavior between Sina Weibo and Twitter, the calculation model is also applicable to Twitter. Originality/value This paper presents a novel computational model for Weibo user influence, which combined multiple indexes such as the user’s attention rate, activity level, and message content influence, etc.

scholarly journals Exploring the intersections: researchers and communication professionals' perspectives on the organizational role of science communication

2020 ◽  
Vol 24 (3) ◽  
pp. 207-226 ◽  
Author(s):  
Kaisu Koivumäki ◽  
Clare Wilkinson
Keyword(s):  
Science Communication ◽  
Large Scale ◽  
Institutional Environment ◽  
Structured Interviews ◽  
Content Type ◽  
Organizational Influences ◽  
Research Organizations ◽  
Funding Policies ◽  
Negative Impacts

PurposeThis paper reports on research exploring the intersections between researchers and communication professionals' perspectives on the objectives, funders and organizational influences on their science communication practices.Design/methodology/approachExamining one context, the inter-organizational BCDC Energy Research project based at five different research organizations in Finland, this paper presents data from semi-structured interviews with 17 researchers and 15 communication professionals.FindingsThe results suggest that performance-based funding policies that drive the proliferation of large-scale research projects can create challenges. In particular, a challenge arises in generating a shared sense of identity and purpose amongst researchers and communication professionals. This may have unintended negative impacts on the quality and cohesiveness of the science communication which occurs.Research limitations/implicationsThe study was exploratory in nature and focuses on one organizational and institutional environment. Further research with a wider number of projects, as well as funders, would be conducive to a greater understanding of the issues involved.Practical implicationsOn a practical level, this research suggests that the creation of clearer communications awareness and guidance may be helpful in some large-scale projects, particularly involving broad numbers of organizations, individual researchers and funders.Originality/valueThis is one of the first studies examining the perspectives of both researchers and communication professionals working over one project, drawing together a range of different institutional and disciplinary perspectives. The results highlight the importance of the influences of funding on science communication aims, assumptions, cultures and structures. The article articulates the need for further research in this area.

scholarly journals Credit composition and income inequality in Vietnam: an empirical analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Le Quoc Hoi ◽  
Hương Lan Trần
Keyword(s):  
Income Inequality ◽  
Educational Level ◽  
Generalized Method Of Moments ◽  
Institutional Quality ◽  
Primary Data ◽  
Data Set ◽  
Content Type ◽  
Private Credit ◽  
The Impact

PurposeThis paper aims to examine the credit composition and income inequality reduction in Vietnam. In particular, the authors focus on the distinction between policy and commercial credits and investigate whether these two types of credit had adverse effects on income inequality. The authors also examine whether the impact of policy credit on income inequality is conditioned by the educational level and institutional quality.Design/methodology/approachThe authors use the primary data set, which contains a panel of 60 provinces collected from the General Statistics Office of Vietnam from 2002 to 2016. The authors employ the generalized method of moments to solve the endogenous problem.FindingsThe authors show that while commercial credit increases income inequality, policy credit contributes to reducing income inequality in Vietnam. In addition, we provide evidence that the institutional quality and educational level condition the impact of policy credit on income inequality. Based on the findings, the paper implies that it was not the size of the private credit but its composition that mattered in reducing income inequality, due to the asymmetric effects of different types of credit.Originality/valueThis is the first study that examines the links between the two components of credit and income inequality as well as constraints of the links. The authors argue that analyzing the separate effects of commercial and policy credits is more important for explaining the role of credit in income inequality than the size of total credit.

scholarly journals Revenue diversification and financial sustainability of microfinance institutions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peter Nderitu Githaiga
Keyword(s):  
Generalized Method Of Moments ◽  
Financial Sustainability ◽  
Microfinance Institutions ◽  
Revenue Diversification ◽  
Estimation Model ◽  
Data Set ◽  
Content Type ◽  
Method Of Moments Estimation ◽  
The Impact ◽  
Positive Effect

PurposeThis paper aims to investigate whether revenue diversification affects the financial sustainability of microfinance institutions (MFIs).Design/methodology/approachThe study uses a worldwide panel data set of 443 MFIs in 108 countries for the period 2013–2018 and two-step system Generalized Method of Moments estimation model.FindingsThe study finds that revenue diversification has a significant and positive effect on the financial sustainability of MFIs.Practical implicationsThe findings of this study actually offer important managerial and policy lessons on MFIs’ financial sustainability. Microfinance managers and policymakers should consider revenue diversification as a strategy through which MFIs can attain financial sustainability instead of overreliance on donations and government subsidiesOriginality/valueUnlike previous studies that examined revenue diversification in the context of banking firms, this study contributes to literature by examining the impact of revenue diversification of the financial sustainability of MFIs.

Czech civil sector face-to-face with freelance activism

2016 ◽  
Vol 36 (11/12) ◽  
pp. 774-791
Author(s):  
Pavol Frič ◽  
Martin Vávra
Keyword(s):  
Large Scale ◽  
Civil Society Organizations ◽  
Political Consumerism ◽  
Data Set ◽  
Content Type ◽  
Individual Level ◽  
Face To Face ◽  
Online Activism ◽  
Civil Sector ◽  
Relationship Of

Purpose The purpose of this paper is to answer following question: what is the relationship between member activism performed through civil society organizations (CSOs) and individualized freelance activism (in form of online activism, everyday making, political consumerism or checkbook activism) independent of organizational framework? Is it a relationship of mutual competition or support? Design/methodology/approach Analysis is carried out on data from 2009 questionnaire-based survey on volunteering, representative for adult Czech population. The data set allowed the authors to relate member activism with freelance activism and in case of member activism distinguish the type of organization and the level of its professionalization. Findings Dominant pattern the authors identified in data is mutual support of both types of volunteering documented by significant overlap of these forms of public engagement. The most striking is the overlap for active members of new advocacy NGOs and the weakest for traditional clubs. Regression analysis shows that on an individual level “mixed activism” (compared with “pure freelance activism”) is linked with higher education and higher confidence in civic organizations. Originality/value The civil practice of individualized freelance activism was described and analysed by various authors as an activity of specific types of activist, but there has not yet been any research giving reflection on such a large scale of freelance activism types as in the analysis. The authors set them together in contrast to the member (collective, organized) form of civic activism and also took into account the influence of professionalization and type of CSOs.

The role of national culture in the impact of board gender diversity on firm performance: evidence from a multi-country study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Navaz Naghavi ◽  
Saeed Pahlevan Sharif ◽  
Hafezali Bin Iqbal Hussain
Keyword(s):  
Corporate Governance ◽  
Firm Performance ◽  
Generalized Method Of Moments ◽  
Gender Diversity ◽  
Governance Structure ◽  
Corporate Governance Structure ◽  
Data Set ◽  
Content Type ◽  
Board Gender Diversity ◽  
The Impact

PurposeThis study seeks to add more insights to the debate on “whether”, “how”, and “under which condition” women representation on the board contributes to firm performance. More specifically, the current study aims to investigate if the effect of board gender diversity on firm performance is dependent on macro factors of national cultures.Design/methodology/approachThe authors used the generalized method of moments regression and a data set consists of 2,550 company year observations over 10 years.FindingsThe results indicated that cultural variables interact with board diversity to influence firm performance. Having women on the board in countries with high power distance, individualist, masculine and low-uncertainty avoidance culture influences the firm performance negatively.Originality/valueThe findings indicate that the effects of corporate governance structure on firm performance depends on culture-specific factors, providing support for the argument that institutional norms that are governed by cultural norms affect the effectiveness of corporate governance structure.

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