Dyadic Operationalization in Business Relationships: The Empirical Example of Marketing-Purchasing Collaboration

Purpose: The purpose of this paper is to explore whether dyadic operationalization within business relationships is feasible and sensible in a rigorous way. It aims to introduce quantitative operationalizations of business relationship characteristics from both monadic and dyadic datasets, and to introduce aggregation techniques for utilizing the richness of dyadic data. It compares and contrasts the effectiveness of different techniques in terms of explaining business relationship phenomena, using an empirical exemplification.

Methodology/Approach: The paper reviews the relevant literature and summarizes various dyadic operationalization and aggregation approaches. It furthermore illustrates such operationalization and aggregation by utilizing an empirical example. A nomological model of marketing-purchasing collaboration is developed and tested based upon internal dyadic data. Using alternative model comparisons, we contrast several different ways of operationalizing dyadic data (combined, dyadic, and dyadic with asymmetry), and compare the outcomes utilizing structural equation modeling.

Findings: The study of business relationships typically makes use of a variety of data types, ranging from simple monadic to perceived dyadic, through to rigorous dyadic data. The various aggregation methods include value, asymmetry, and directional asymmetry approaches. Pertinent sub-constructs are developed based on these aggregation methods and relevant hypotheses incorporating and reflecting on the role of the sub-constructs are suggested to develop a more meaningful and rich quantitative analysis of business relationship phenomena.

Research Implications: This paper explores the different ways in which data assessing the relationship between two interacting parties can be operationalized. Dyadic operationalization within the context of business relationships is sensible and recommended. Researchers can adopt approaches to conduct dyadic data operationalization including data collection methods such as perceived dyadic and rigorous dyadic. They should benefit from rich dyadic aggregation approaches such as value, asymmetry, and directional asymmetry, noting the strengths and weaknesses of each approach discussed in this paper.

Practical Implications: Businesses are recommended to increase customer orientation and marketing-purchasing interaction to improve collaboration between marketing and purchasing departments and thus their overall performance. Businesses should also develop an alignment between the collaboration perceptions of the involved departments, and note that perceptual symmetry improves collaboration. Perception matching in a dyadic relationship plays a role in enhancing the overall firm performance. Managers should note that all involved parties’ perspectives are to be included to ensure a positive and collaborative liaison. An all-encompassing attitude and perspective (as opposed to an asymmetric, unbalanced one) ensures an effective relationship.

Originality/Value/Contribution of the paper: The contribution of the research lies in outlining different ways to accomplish more insightful analytics regarding data operationalization, and their different strengths and weaknesses in terms of explaining relationship characteristics, and therefore enriches research on business relationships by making better sense of quantitative dyadic data.     

Utilizing and teaching data tools in Excel for exploratory analysis

In this article we offer Excel as an introductory tool to high end business intelligence (BI) and decision support system (DSS) applications. Because it is ubiquitous, Excel can be used by all managers and business students for exploratory data analysis. We provide three key points in this utilization of Microsoft^® Excel 2003: (1) manipulating records using Excel as a database, (2) creating PivotTables^® and PivotCharts^® using Excel for analysis, and (3) importing data using Excel as an automation container. The basic skill set defined by the above three items allows users to begin to use Excel to its full potential in finding information in business data, and it offers a key tool for future research in improving the utilization of information across organizations.     

Teaching information technology alongside business analytics: Case study

Business analytics can be described as the statistical analysis of data to make decisions and meaningful conclusions. As the demand to advance the curriculum of undergraduate business education increases, courses in business analytics aim to provide students with fundamental skills in critical thinking. Educators have found that spreadsheet applications that include statistical features are easy to use and facilitate student learning. The authors analyzed student performance in an introductory business analytics course that used Microsoft Excel as a statistical tool by comparing scores from this introductory course with those from an information technology course in which only Excel skills were learned.     

基于分布式数据挖掘的连锁商业企业经营决策分析

分布式经营系统是大型连锁商业企业发展的基础,采用分布式数据挖掘辅助连锁商业企业决策是一种理想选择。连锁商业企业经营决策可以通过基于分布式数据挖掘的全局控制站点决策模式和分站点决策模式,各站点的独立和全局的综合来实行;基于分布式数据挖掘的决策机制与集中式数据挖掘的决策机制相比有划分粒度小、分析与综合性强、面向顾客的灵活度高等特点;并实现了一个客户细分的决策过程。     

Ontology-based approach for identifying the credibility domain in social Big Data

ABSTRACT

The challenge of managing and extracting useful knowledge from social media data sources has attracted much attention from academics and industry. To address this challenge, semantic analysis of textual data is focused on in this paper. We propose an ontology-based approach to extract semantics of textual data and define the domain of data. In other words, we semantically analyze the social data at two levels: the entity level and the domain level. We have chosen Twitter as a social channel for the purpose of concept proof. Ontologies are used to capture domain knowledge and to enrich the semantics of tweets, by providing specific conceptual representation of entities that appear in the tweets. Case studies are used to demonstrate this approach. We experiment and evaluate our proposed approach with a public dataset collected from Twitter and from the politics domain. The ontology-based approach leverages entity extraction and concept mappings in terms of quantity and accuracy of concept identification.     

Examining the Role of Brand Equity in Business Markets: A Model,Research Propositions,and Managerial Implications

ABSTRACT

This paper presents a model of brand equity for business markets. It is argued that the potential benefits of branding and brand equity development have been neglected in business markets and that a general model and stream of relevant empirical research could be useful to managers in business markets depending on the situational nature of their market and competitive structure. The model adapts and extends existing brand equity literature to reflect the unique aspects involved in a business-to-business marketing context. The model developed considers marketing strategies as antecedents, two different classes of moderator variables, brand equity as a perception by the buyer or the market, a series of consequences of brand equity perceptions, and perceived risk as a moderator of the brand equity-consequences relationship. Propositions have been defined and discussed to help facilitate research and provide guidelines for industrial marketing managers.     

New Technology Adoption,Business Strategy and Government Involvement: The Case of Mobile Commerce

SUMMARY

This research focuses on understanding how business organizations are likely to adopt mobile commerce (m-commerce) technology. Mobile commerce adoption represents a complex process that draws in variables external to the firm such as the environment in which the business operates and the government involvement, as well as variables internal to the company such as its business strategy and its organizational culture. A model is formulated and several research propositions are offered. They will help understand the mobile commerce applications adoption process. Implications of this model and further research avenues are discussed.     

From an information consumer to an information author: a new approach to business intelligence

ABSTRACT

Self-Service Business Intelligence (SSBI) enables business users, such as executives, managers, analysts, and knowledge workers to build reports on a need-basis to support their decisions and actions toward business success. This suggests that business users are empowered not only to consume information but also to author it. Yet, research on SSBI is mainly concentrated at the industrial level, and furthermore little is known on the way SSBI is changing the current state of BI. To address this lack of knowledge, this study explores the attributes of SSBI that are necessary to extend the role of a business user beyond that of an information consumer by drawing on the literature of Self-Service Technologies (SST). This study provides a new definition of SSBI as a new approach to BI. Furthermore, it highlights the duality of high levels of co-production and low levels of dependency as key to the SSBI approach.     

Corporate Social Responsibility and Business Value of Multinational Companies: Lessons from a Sub-Saharan African Environment

ABSTRACT

The issue of corporate social responsibility (CSR) as an approach for businesses to independently take actions that lead to better levels of societal development as well as higher value creation for the business, particularly in developing countries has gained much advocacy. Thus, the purpose of this study is to examine the relationship between CSR and business value of multinational companies (MNCs) in sub-Saharan Africa. The study adopted quantitative research methodology and using multiple regression analysis, findings show that CSR can positively and significantly predict business values in the multinational subsidiaries. These values include direct (economic value) and indirect (human capital value and reputational business value). This paper therefore contributes to a novel CSR index from the perspective of business value and sustainability of MNCs in the Sub-Saharan Africa (SSA) environment. Thus, the paper recommends MNCs operating in Africa to enhance their social investment through their CSR strategy with the aim that CSR must not be regarded as a cost center, but an investment instrument that can accrue various dividends.     

Making Sense of Marketing Data: Some MIS Perspectives on the Analysis of Large Data Sets

Despite the growth in the size and complexity of corporate data, the technology for analyzing it has not kept up with the advances in data collection, in that managers mostly need to rely on marketing research and information systems experts to generate the analysis and reports they need. We review some useful approaches here from the computer science and information systems fields for the analysis of large data sets, viz. good data organization and the use of flexible analysis tools, for making the analysis more tractable and user-friendly. These methods are increasingly being adopted by practitioners who are hard-pressed to generate business intelligence from large corporate databases. However, the benefits of these approaches may not be confined only to practitioners, and may apply to academic researchers working with large data sets, as well.     

Implementation intentions in the entrepreneurial process: concept,empirical findings,and research agenda

Prior studies find sizable gaps between entrepreneurial intentions and subsequent actions. We extend models of entrepreneurial intentions by drawing on action phase theory to better understand how entrepreneurial intentions translate into actions. Our study focuses on the effects of implementation intentions on taking entrepreneurial action. The analysis uses two waves of survey data on 422 individuals, from the Swedish general population, who had an explicit interest in starting a business and who reported on their actions 6 months later. We test and find support for a moderated mediation model in which implementation intentions mediate the effects of goal intentions on taking entrepreneurial action. We further find the mediated effect to be even stronger for those confirming a strong intention to start a new business. We provide an in-depth discussion of the concept of implementation intention and an extensive research agenda.     

The Effects of Euphemism Usage in Business Contexts

Transparency is important in today’s business environment. The use of euphemisms decreases transparency yet is increasing in business and business education. This study examines the effects of euphemism on people’s attitudes toward actions and their intentions to perform those actions. It also measures the effect of oversight on attitudes and behavioral intentions. Using a 2 × 2 experimental design, we measured participants’ attitudes by employing a semantic differential scale and behavioral intentions by using a simple yes/no question regarding the action described. A questionnaire with 20 brief scenarios provided the euphemistic (transparent) versus non-euphemistic (less-transparent) condition. Oversight versus non-oversight conditions were manipulated through instructions to participants. Hypotheses regarding the effects of euphemism were supported; participants were both more likely to rate an action as appropriate and to indicate they would take that action when stated euphemistically. Oversight did not have a significant effect on attitude toward the action, but did significantly affect participants’ intentions to take that action. Findings suggest both managerial and ethical implications for businesses. Greater transparency includes more straight talk and less euphemism and is recommended to ensure employees’ understanding and implementation of ethical business actions.     

Transformation and Rebirth of Chinese Brands: A Case From the Hotel Industry

ABSTRACT

Chinese domestic brands have developed rapidly in recent years, and yet few of them have entered global competition as product or service brands brands with exceptions such as Huawei. In addition, the evolution of Chinese brands has hardly been understood or introduced properly by international business educators. In this article, we identify the development patterns of Chinese domestic brands by using a local hotel brand as an example. Particularly, we examine and discuss how a Chinese brand can be established with specific positioning, brand image, and product offering, as well as how the brand can grow by vertical and horizontal extensions based on balancing market opportunities and the brand’s own capabilities. Moreover, we expect this research to facilitate the understanding of Chinese brands among international business education.     

External enablement of new venture creation: An exploratory,query-driven assessment of China's high-speed rail expansion

This study seeks to build upon empirical and conceptual work examining the characteristics, mechanisms, and roles of exogenous, actor-independent drivers of entrepreneurial actions and outcomes, known as “external enablers” (EE). These aggregate-level changes – ranging from unforeseen, episodic EEs such as natural disasters and pandemics, to evolving, pan-generational EEs such as socio-demographic shifts, climate change, and breakthrough technologies – constitute a burgeoning stream of research concerning the manner and degree to which disequilibrating circumstances facilitate or forestall business venturing. The central focus of our investigation takes up the critical issue of an EE's temporal, spatial, and sectoral scope. Specifically, we seek to extend and enhance the EE framework by offering a more nuanced assessment of how and why the actions and outcomes elicited by EEs vary, often significantly, as a function of an EE's characteristics. To delve into this emerging line of inquiry, we conduct an abductive, query-driven, exploratory investigation of the impact China's high-speed rail expansion has had on new business venturing. Our findings contribute to further refinement of the theoretical EE framework, provide an important road map for future empirical studies, and offer considerable practical and policy implications.     

Service Business Markets: Relationship Development in the Maritime Industry

ABSTRACT

Purpose: Prior literature has acknowledged the growing importance of service business markets (SBMs). However, relatively little research has examined the relationships and the motives for relationship development in SBMs. The aim of this paper is to investigate the nature of relationships and the various motives for relationship development between service provider and customers.

Methodology: This paper adopts a qualitative research strategy and a case study approach. The context is the maritime industry. One of the largest container terminals in China represents a unique and revelatory case study, wherein nine container terminal-shipping line dyads are the units of analysis. The data were mostly collected via 34 semistructured interviews with maritime industry professionals. The data were triangulated by including archival records and industry reports.

Findings: The interdependence and nonidentical nature of service delivery episodes are identified and considered to add to the knowledge on SBMs. This research provides evidence of the applicability of three groups of motives—economic, strategic, and social—for relationship development to SBMs. The motives are found to coexist and to have greater or lesser weight in the actors’ decision making depending on external factors, such as industry and company development stage, and internal factors, including the companies’ common vision and desire to collaborate.

Contribution: Academic papers have usually focused on specific types of motives, associated with a particular theoretical framework (e.g. transaction cost theory). Motives have rarely been discussed from multiple theoretical lenses. When motives are identified it is not clear what they really imply in different contexts, and what factors cause them to appear. This paper provides a number of contributions. First, it integrates several theoretical perspectives and specifies three groups of motives for relationship development in SBMs: economic, strategic, and social. Second, through the analysis of empirical findings the paper provides a deeper understanding of each group of motives, proposing an integrated framework of motives and the factors affecting their appearance. Subsequently, the research is carried out through a dyadic perspective, which is relatively rare in SBM research. A dyadic perspective allows similarities and differences in actors’ perceptions and actions to be illuminated. Finally, the research brings in a relatively new and important context—the Chinese maritime industry.

Practical implications: Knowing the needs and motives of counterparts can greatly assist SBM actors in formulating their strategies and planning their investments. It is also important that actors realize that the extent to which the other side is open to collaboration depends on the interplay of various motives. In general, business professionals should realize that end users increasingly perceive various service delivery stages within a supply chain as interdependent. Thus, to deliver a more integrated and flawless service to the end user, service providers and customers in SBMs should develop communication and collaboration beyond the operational level.     

Retail Marketing Channel Franchise Failure

Abstract

The retail franchising channel is significant and growing rapidly in the U.S., U.K. and other countries. This paper presents a new retail strategic management perspective and provides new, more reliable U.S. longitudinal retail franchise government furnished data, covering over 800 franchise systems and over 250,000 franchise units.

A strategic management failure perspective and more accurate retail franchisee channel failure data facilitate understanding and mitigating failure. Retail franchisee channel failure is an important topic that merits further research and franchise system management attention.     

The regulatory challenge to branding: An interpretation of UK competition authority investigations 1950–2007

Abstract

Branding is a necessary and important business tool. This study, however, examines whether branding can constitute an anticompetitive act. While most markets and firms do not undertake anticompetitive actions, being identified as such can result in a wide range of negative outcomes. To explore this low-frequency yet high-risk outcome, this study assesses how branding has been perceived to be anticompetitive by the UK competition authorities. This assessment is undertaken by examination of all UK competition law regulatory decisions undertaken over the period 1950–2007 by the UK competition authorities. From this assessment, it is observed that branding can facilitate excessive pricing, requires vertical restraints, and can lead to consumer confusion; all potentially anticompetitive acts. The competition regulatory decisions focused on branding issues are demonstrably different from regulatory decisions without branding concerns and involve larger, often manufacturing, firms, which operate in more concentrated markets. It is concluded that comprehension of competition law needs to be disseminated more widely amongst marketing communities and greater reference to business and marketing theory should be made by competition law agencies to assist the comprehension of marketing techniques such as branding.     

Building a Trust Model in the Online Market Place

ABSTRACT

If demand is not sufficient, a business will not be viable. This basic fact of business survival is intimately related to one of the most popular analytical approach for evaluating the profitability potential of a business, Porter's “Five Forces” model. Locating an online niche that is in sufficient demand to generate adequate revenues and profits is a challenging, but not an impossible, task. The Internet has the unparalleled ability to produce information trails that allow the user to measure the supply and demand for keywords used in online searches, and software has been designed to facilitate the location of potentially profitable niches. This paper provides an overview of this software along with associated strengths and weaknesses, shows examples of the output generated by leading keyword research software (KRS), and provides an extensive listing of KRS vendors and a summary of the capabilities of their products.     

Cheese trademarks: Italian dairy firms’ practices during the 20th century

Abstract

Trademarks have recently become a very useful source for business historians. This longitudinal analysis of the twentieth-century trademarking activities of the most important Italian dairy firms of the era, namely Galbani, Invernizzi and Locatelli, demonstrates that trademarks were used both as a protective weapon against competitors and as an innovation carrier to open up new markets. This article also argues that trademark registrations had another dual purpose – not only were they used as buffers against negative shocks but they were also used to support periods of economic growth. A fundamental finding of this work is that trademarks, across various types of registrations, were closely connected to the features on which the companies based their sales strategies.     

Transparent Practices: Primary and Secondary Data in Business Ethics Dissertations

We explore the availability and use of data (primary and secondary) in the field of business ethics research. Specifically, we examine an international sample of doctoral dissertations since 1998, categorizing research topics, data collection, and availability of data. Findings suggest that use of only primary data pervades the discipline, despite strong methodological reasons to augment business ethics research with secondary data.