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Book part
Publication date: 1 August 2004

Harry P. Bowen and Margarethe F. Wiersema

Research on strategic choices available to the firm are often modeled as a limited number of possible decision outcomes and leads to a discrete limited dependent variable

Abstract

Research on strategic choices available to the firm are often modeled as a limited number of possible decision outcomes and leads to a discrete limited dependent variable. A limited dependent variable can also arise when values of a continuous dependent variable are partially or wholly unobserved. This chapter discusses the methodological issues associated with such phenomena and the appropriate statistical methods developed to allow for consistent and efficient estimation of models that involve a limited dependent variable. The chapter also provides a road map for selecting the appropriate statistical technique and it offers guidelines for consistent interpretation and reporting of the statistical results.

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Research Methodology in Strategy and Management
Type: Book
ISBN: 978-1-84950-235-1

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Article
Publication date: 10 October 2016

Chokri Barhoumi

The purpose of this paper is to extend significantly the technology acceptance model (TAM) of Davis to design an extended TAM model to be used in the evaluation and…

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Abstract

Purpose

The purpose of this paper is to extend significantly the technology acceptance model (TAM) of Davis to design an extended TAM model to be used in the evaluation and assessment of e-information services for information research such as e-library services. The present TAM extension is based on two variables of behavioral intention: the perceived ease of use and perceived usefulness of a system. Furthermore, the user satisfaction, free access, information architecture, content richness, policies and rules, publishers’ quality, system self-efficacy and task technology fit were incorporated into the TAM to extend it with other factors theoretically motivated and would be of interest more generally.

Design/methodology/approach

The researcher adopted an experimental approach-based comparison between an experimental group (107 researchers) using an electronic information service (the e-library service of the university) and a control group (107 researchers) not registered in this e-information service of the university.

Findings

The researcher used the effect size values based t-test independent samples at the 0.05 level to adapt the structural model equation to the experimental sample. Principal results show that the behavioral intention was influenced significantly by user satisfaction. The perceived usefulness of the e-library services was influenced significantly by the perceived ease of use, information architecture, content richness, free access, publishers’ quality, task-technology fit and e-library service self-efficacy.

Originality/value

This paper is useful in advancing a framework for the evaluation and assessment of the electronic information service used for information research and exploring users’ attitudes toward using that service.

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Book part
Publication date: 1 August 2004

Henrich R. Greve and Eskil Goldeng

Longitudinal regression analysis is conducted to clarify causal relations and control for unwanted influences from actor heterogeneity and state dependence on…

Abstract

Longitudinal regression analysis is conducted to clarify causal relations and control for unwanted influences from actor heterogeneity and state dependence on theoretically important coefficient estimates. Because strategic management contains theory on how firms differ and how firm actions are influenced by their current strategic position and recent experiences, consistency of theory and methodology often requires use of longitudinal methods. We describe the theoretical motivation for longitudinal methods and outline some common methods. Based on a survey of recent articles in strategic management, we argue that longitudinal methods are now used more frequently than before, but the use is still inconsistent and insufficiently justified by theoretical or empirical considerations. In particular, strategic management researchers should use dynamic models more often, and should test for the presence of actor effects, autocorrelation, and heteroscedasticity before applying corrections.

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Research Methodology in Strategy and Management
Type: Book
ISBN: 978-1-84950-235-1

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Article
Publication date: 5 November 2019

R. Dale Wilson and Harriette Bettis-Outland

Artificial neural network (ANN) models, part of the discipline of machine learning and artificial intelligence, are becoming more popular in the marketing literature and…

Abstract

Purpose

Artificial neural network (ANN) models, part of the discipline of machine learning and artificial intelligence, are becoming more popular in the marketing literature and in marketing practice. This paper aims to provide a series of tests between ANN models and competing predictive models.

Design/methodology/approach

A total of 46 pairs of models were evaluated in an objective model-building environment. Either logistic regression or multiple regression models were developed and then were compared to ANN models using the same set of input variables. Three sets of B2B data were used to test the models. Emphasis also was placed on evaluating small samples.

Findings

ANN models tend to generate model predictions that are more accurate or the same as logistic regression models. However, when ANN models are compared to multiple regression models, the results are mixed. For small sample sizes, the modeling results are the same as for larger samples.

Research limitations/implications

Like all marketing research, this application is limited by the methods and the data used to conduct the research. The findings strongly suggest that, because of their predictive accuracy, ANN models will have an important role in the future of B2B marketing research and model-building applications.

Practical implications

ANN models should be carefully considered for potential use in marketing research and model-building applications by B2B academics and practitioners alike.

Originality/value

The research contributes to the B2B marketing literature by providing a more rigorous test on ANN models using B2B data than has been conducted before.

Details

Journal of Business & Industrial Marketing, vol. 35 no. 3
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 26 July 2013

Gökhan İskender and Sevgi Özkan

This study is an updated and enhanced version of the study named “Building a methodology to assess the e‐government transformation success” presented by İskender and Özkan…

Abstract

Purpose

This study is an updated and enhanced version of the study named “Building a methodology to assess the e‐government transformation success” presented by İskender and Özkan in the 18th Americas Conference on Information Systems (AMCIS 2012). The main purpose of this study is to explain the development of the methodology presented in the previous study in detail, but as an add‐on to the previous one, it also applies the developed methodology on the real data collected from Turkish public institutions to show the practical implementation of it and to evaluate the preliminary results.

Design/methodology/approach

The methodology explained in this study is designed to collect quantitative data to assess the relationship between the success level of e‐government transformation in Turkish public institutions (dependent variable) and the probable factors (independent variables) which might be effective on this success. The dependent variable is formed by using the framework of IS Success Model created by DeLone and McLean (D&M IS Success Model), while the independent variables are gathered from literature by analyzing 100 studies focusing on probable success factors.

Findings

The major output of this study is a common methodology designed to collect and analyze the data of different stakeholder groups in e‐government transformation, but the practical implementation shows that the independent variables gathered from the literature as the probable causes of the success in e‐government transformation are not really the causes of this success, although they are positively correlated to it. In addition to this, trying to evaluate the effect of each single independent variable on the dependent variable separately is not a logical way, as some of these variables are subject to reciprocal suppression with the other ones.

Research limitations/implications

Although the developed methodology is a generic one, the practical implementation of it in this study only uses the data of Turkish public institutions.

Practical implications

Since the methodology is a generic one, it might be used by the other interested researchers to do similar or alternative analyses with the same or different sample groups.

Social implications

Understanding the relationship between the e‐government transformation success and the probable success factors better might be helpful to develop better policies focusing on the social, legal, technical and economic dimensions of the subject more properly.

Originality/value

Apart from the similar studies in the literature, the methodology developed in this study provides a way for the researchers who want to collect comparable quantitative data not only from external stakeholders (citizens who use e‐government services) but also from internal stakeholders (government officials who provide these services and benefit from them in the internal processes of the public institutions).

Details

Transforming Government: People, Process and Policy, vol. 7 no. 3
Type: Research Article
ISSN: 1750-6166

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Article
Publication date: 4 October 2011

Hongjin Xiang, Feng Zongxian and Liu Xuyuan

Based on the American antidumping cases against China, the purpose of this paper is to construct an early warning model for Chinese exports.

Abstract

Purpose

Based on the American antidumping cases against China, the purpose of this paper is to construct an early warning model for Chinese exports.

Design/methodology/approach

In order to overcome the drawbacks of the existing early warning models for antidumping, first, the authors screen out six most relevant indices that play a key role in US textile corporations' decision of antidumping petition against China from 2002 to 2006, then design a early warning system for antidumping petition based on panel data logit model.

Findings

The regression result indicates that unemployment ratio and import‐penetration ratio significantly influence the antidumping filing decisions; when the other invariables keep the same, with the market share of China textile goods increasing by 1 per cent point, the odds ratio of antidumping petitions against China textiles increases by about 3.7 per cent.

Originality/value

As far as the authors are aware there is no definite research yet about early warning system of antidumping events, and this paper aims to specifically address this issue.

Details

Journal of Chinese Economic and Foreign Trade Studies, vol. 4 no. 3
Type: Research Article
ISSN: 1754-4408

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Book part
Publication date: 18 September 2017

Henry Huang, Li Sun and Joseph Zhang

This paper examines the relationship between environmental uncertainty and tax avoidance at the firm level. We posit that managers faced with more uncertain environments…

Abstract

This paper examines the relationship between environmental uncertainty and tax avoidance at the firm level. We posit that managers faced with more uncertain environments are likely to engage in more tax avoidance activities. We find a significant and negative relationship between environmental uncertainty and effective tax rates, and our results persist through a battery of robust checks. We further find that managerial ability mitigates the above relationship. Moreover, we find that small, highly leveraged, and innovative firms operating in uncertain environments engage in more tax avoidance.

Details

Advances in Taxation
Type: Book
ISBN: 978-1-78714-524-5

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Book part
Publication date: 29 August 2007

J. Myles Shaver

As a field, we should put more emphasis on interpreting the magnitude of coefficient estimates rather than only assessing statistical significance. To support this claim…

Abstract

As a field, we should put more emphasis on interpreting the magnitude of coefficient estimates rather than only assessing statistical significance. To support this claim, I demonstrate how focusing only on statistical significance can lead to incorrect and incomplete conclusions in many common applications of the linear regression model. Moreover, I demonstrate why interpreting coefficient estimates in common non-linear estimators (e.g., probit, logit, Poisson, and negative binomial estimators) requires additional care compared to the linear regression model.

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Research Methodology in Strategy and Management
Type: Book
ISBN: 978-0-7623-1404-1

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Book part
Publication date: 11 November 2019

Punyaslok Dhall

This paper is the main section on quantitative data analysis. It explains the concepts at a greater detail to help non-Math/Stat scholars to understand the basics easily…

Abstract

This paper is the main section on quantitative data analysis. It explains the concepts at a greater detail to help non-Math/Stat scholars to understand the basics easily. Proper data analysis is critical to any research. If data are not properly analyzed, then it may give results which either cannot be properly interpreted or wrongly interpreted. This section covers univariate, multivariate analysis and then, factor analysis, cluster analysis, conjoint analysis, and multidimensional scaling (MDS) techniques.

Details

Methodological Issues in Management Research: Advances, Challenges, and the Way Ahead
Type: Book
ISBN: 978-1-78973-973-2

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Article
Publication date: 5 June 2017

Ramanjeet Singh and Hima Bindu Kota

To compete and to survive in this era of globalization, organizations, including family businesses, need to have competitive advantage, and innovation and…

Abstract

Purpose

To compete and to survive in this era of globalization, organizations, including family businesses, need to have competitive advantage, and innovation and internationalization are some of the ways to achieve this. This paper aims to analyze whether family businesses innovate and internationalize more than non-family businesses and further analyses the type of family businesses “age-wise” and “size-wise” that innovate and internationalize more.

Design/methodology/approach

The study is empirical in nature. The period of study is 11 years, from 2005 to 2015 (both years inclusive). The sample is chosen from Bombay Stock Exchange (BSE) 500 index, a broad-based index in India, covering about 20 industries of the economy. The present study uses multiple regression models to find the innovativeness and internationalization of family businesses. The dependent variables are R&D (proxy for innovativeness) and FXINC (proxy for internationalization). The independent variables are FB (variable that defines whether a business is family business or non-family business); FBAGE (variable that defines the age of the family business); and FBSIZE (variable that defines the size of the family business). The other control variables used in in the study are TA (total assets), REV (revenue), CR (current ratio), QR (quick ratio), DER (debt-equity ratio) and RONW (return on net worth). Fixed effects model was used to understand the innovativeness and internationalization of family businesses. Both industry and year fixed effects were used. SPSS 20.0 version is used for the analysis. All results are heteroscedastic consistent using Breusch–Pagan test.

Findings

It is found that family businesses are more innovative and internationalized when compared to non-family businesses. The results are consistent with the resource-based theory where it is found that family businesses are entrepreneurial in nature (Salvato, 2004; Zahra et al., 2004; Kellermanns and Eddleston, 2006) which makes them more innovative. It was also found that within the family businesses, younger firms were more innovative and internationalized than older firms. This can be explained by the theory of “learning advantages of newness”, according to which younger firms are more flexible, eager to learn, have less internal resistance and are able to adapt to the changing environment much faster.

Originality/value

During the studies, the authors have found that there is no conclusive evidence on the innovativeness and internationalization of family businesses. Further, there are apparently negligible studies that analyze what type of family businesses, age wise (younger or older firms) and size wise (smaller or larger firms) use the strategy of innovation and internationalization to grow. The present study analyses the innovativeness and internationalization of family businesses when compared to non-family businesses and also studies the type of family businesses (age wise and size wise) that are more innovative and internationalized.

Details

Journal of Entrepreneurship in Emerging Economies, vol. 9 no. 2
Type: Research Article
ISSN: 2053-4604

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