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Journal ArticleDOI

Non-linear relationship between industrial service offering and sales growth: The moderating role of network capabilities

TL;DR: In this article, the impact of the industrial service offering on sales growth and the moderating role of network capabilities was analyzed. And the results indicated that the active development of a comprehensive service offering should be implemented in conjunction with the development of organizational capabilities such as network capabilities to create value and promote improved performance.
About: This article is published in Industrial Marketing Management.The article was published on 2013-11-01 and is currently open access. It has received 260 citations till now. The article focuses on the topics: Sales management & Service (business).

Summary (4 min read)

1. Introduction

  • Industrial firms are striving both to complement their products with a set of value-added services and to re-position themselves as solution providers (Davies, Brady, & Hobday, 2007; Helander & Möller, 2008; Meier, Völker, & Funke, 2011; Vargo, Maglio, & Akaka, 2008).
  • Studies have proposed that industrial services provide additional revenues throughout the product life cycle and increase product sales to ensure success (Gebauer & Fleisch, 2007; Oliva & Kallenberg, 2003).
  • The existing research is mostly qualitative or normative (Jacob & Ulaga, 2008), providing modest and suggestive empirical 358 6324 8195. tamäki), V. Parida), ghts reserved.
  • Overall, these conflicting accounts suggest that the relationship between industrial services and firm performance is far more complex than has been anticipated by previous empirical studies.
  • In brief, this study responds to calls for research on the performance impact of industrial services (Fang et al., 2008; Gebauer et al., 2012) and the enabling effect of organizational capabilities.

2. Theory and hypotheses

  • Below, the authors review the literature related to their main constructs before detailing their hypotheses development, suggesting that service offering may be positively associated with sales performance (albeit in a non-linear form).
  • Consistent with previous studies (e.g., Homburg et al., 2003), the authors view an emphasis on the sales and marketing of industrial services as integral to the concept of a service offering.
  • From the studies listed in Table 1, the authors can identify different classifications of industrial services.
  • The existing research on industrial services has provided mixed results in terms of their performance effects.
  • Therefore, building on this general definition of capabilities, the authors consider that network capabilities enable the use of strategic resources for improved value creation (Kohtamäki et al., 2013; Theoharakis et al., 2009).

2.3.1. The influence of the industrial service offering on sales growth

  • Prior studies have suggested that providing industrial services offers more stable revenue than products because services generate revenue throughout the product life cycle and also in periods of economic recession when product sales may suffer (Gebauer, Edvardsson, & Bjurko, 2010; Gebauer, Edvardsson, Gustafsson, et al., 2010; Gebauer, Fischer, et al., 2010; Oliva & Kallenberg, 2003).
  • Recent studies reveal that the relationship between industrial services and firm performance is far from simple, and it should be noted that the limited existing empirical research provides mixed evidence in terms of the service-firm performance link (Gebauer et al., 2012; Jacob & Ulaga, 2008; Neu & Brown, 2005).
  • The authors believe that their literature review establishes that this view merits more attention.
  • This implies a non-linear relationship between the service offering and sales performance is expected, as narrow or moderate range of add-on services are likely to be insufficient to generate a perception of highly valuable integrated solutions among the customer base.
  • In such cases, a broader service offering can also support product differentiation, making the offered solutions more attractive to large customers likeminingfirms that require large operational plantfleets and value reduced risk of breakdowns and the associated downtime.

2.3.2. The moderating role of network capabilities

  • Prior studies often consider service organizations as a ‘black box’ calling for research on structures and capabilities thatmoderate theperformance impact of industrial services (Gebauer, Edvardsson, and Bjurko, 2010; Gebauer, Edvardsson, Gustafsson, et al., 2010; Gebauer, Fischer, et al., 2010; Raddats & Burton, 2011).
  • Finally, Raddats and Easingwood (2010) suggested the increasing importance of relational capabilities when the complexity of exchanges increases.
  • From low to moderate levels of service offering, service exchanges are simple and can be managed without facilitation of network capabilities, but from moderate to high levels, where complexity of exchanges increases, network capabilities are needed.

3.1. Data collection, response pattern and respondents

  • Detailed data are needed to analyze the influence of service offering on service sales performance and firm sales growth because no public database provides such knowledge.
  • The authors sample consists of all machine and equipment manufacturing firms that are liable to pay the value-added tax and that employ 20 or more employees.
  • Before sending the questionnaires, the authors contacted the targeted firms by phone to request their participation in this study.
  • The authors received 122 firm responses, of which they excluded five questionnaires that were incomplete and two cases of outliers based on the interpretation of scree-plot images (Tabachnick & Fidell, 2007).
  • The authors can conclude that the respondent firms and the industry as a whole are at an early stage of transformation toward a servicedominant business model because the average value for the service share of revenuewas approximately 16%.

3.2. Analysis method and measurements

  • The constructs and items were adapted from prior studies and then translated and back-translated (English–Finnish–English) by another researcher to confirm translation equivalence (Brislin, 1970).
  • The authors evaluated the validity of the construct using the content validity index (average I-CVI), with all dimensions topping the threshold of .8 (Davis, 1992; Polit et al., 2007).
  • In the factor analysis, all of the items loaded above .40 onto their main factors without significant side loadings (b .40).
  • As a result of the explorative factor analysis, the authors identified six dimensions, including maintenance services, R&D services, product-information-sharing services, finance and insurance services, performance services, and procurement services.
  • The authors controlled for the effect of the product business on firm sales growth.

4. Results

  • In the following paragraphs, the authors begin their analysis by presenting a correlation matrix of the constructs that are included in this study and then continue the analysis by presenting the regression models.
  • Table 3 presents the correlations between the given constructs and control variables and demonstrates that the highest correlation between the independent variables is moderately low at .35.
  • The fourth model adds the linear interaction, whereas the fifth model enters the non-linear interaction into the model and tests the moderating role of network capabilities on the non-linear effect of the service offering on sales growth.
  • Instead, the interaction effect should be studied by plotting the effect and testing the significance of marginal effects, which demonstrate the true significance of interactions (Brambor et al., 2006).
  • The effect of a high level of network capabilities becomes significant between the service offering levels 0.83 and 1.33 and remains significant until 4.33.

5.1. Theoretical contribution

  • The existing industrial service business research presents relatively little evidence on the relationship between service offering policy and Table 4 The results of hierarchical regression analysesa.
  • First, this study highlights the importance of service offering activity to firms' sales growth, demonstrating a non-linear relationship.
  • We believe that this result is based on two underlying reasons.the authors.
  • Second, from moderate to high levels of service offering, customer segments of higher expectations demand for integrated solutions requiring co-production of service and solutions offering and cocreation of customer's experience.

5.2. Managerial contribution

  • For managers of industrial firms, these results highlight the importance of the industrial service offering when combined with network capabilities enabling value creation from the service offering.
  • To avoid the ‘commoditization trap’, industrial servicefirmsmay consider adding services as part of their total offering.
  • The development of industrial service capabilities begins with a service offering policy (Antioco,Moenaert, Lindgreen, et al., 2008) and continues with an emphasis on organizational and relational capabilities.
  • This study highlighted the importance of a strong service offering that can be bundled with products, to create integrated solutions, to serve customers of highest expectations.
  • Thisfinding alsomeans thatfirms should decide on and implement a clear service strategy to achieve the desired performance outcomes.

5.3. Limitations and suggestions for further research

  • As with every study, the current research is not without its limitations.
  • Nevertheless, further evidence from large multinational firms would be useful.
  • The current study considers the service offering of a firm to be a reflection of its industrial service strategy.
  • Organizational network research can still contribute a great deal to establishing the importance and effects of network capabilities in combination with other organizational capabilities, and how they align with solution, service, and customization strategies.
  • The authors regularly discuss with their partners how they can support one another in their success Relational skills.

6. Conclusion

  • The current study contributes to the literature by presenting evidence on the positive but non-linear effect of a firm's service offering on its sales performance and the positive moderating role of network capabilities.
  • It appears that network capabilities enable the service offering to exert a positive non-linear effect on sales growth, suggesting an increased emphasis on the service offering and the necessary organizational capabilities to co-produce service and solution offering and to co-create customer's experience.
  • The authors know their partners' strengths and weaknesses Internal communication.
  • In their organization, employees develop informal contacts among themselves.
  • In their organization, communication is common across projects and subject areas Sales growth Sales growth rate 2008–2011 (Objective measure) Control variables Number of patents Breadth of customer base (Number of customers) Product performance (Product share of revenue) Slack resources (Current ratio).

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Citations
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TL;DR: In this article, a systematic literature review is conducted related to understanding implementation of Product-Service Systems business models and five sets of tactical practices, including contracts, marketing, networks, product and service design, and sustainability operational practices.

613 citations

Journal ArticleDOI
TL;DR: In this article, the authors consolidate the servitization knowledge base from an organizational change perspective, identifying developed, developing and undeveloped topics to provide a platform that directs future research.
Abstract: Purpose: The purpose of this paper is to consolidate the servitization knowledge base from an organizational change perspective, identifying developed, developing and undeveloped topics to provide a platform that directs future research. Design/methodology/approach: This paper addresses three objectives: it comprehensively examines organizational change management literature for selection of a theoretical framework; it classifies extant studies within the framework through a systemic literature review; and it analyses 232 selected papers and proposes a research agenda. Findings: Analysis suggests increasing global awareness of the importance of services to manufacturers. However, some topics, especially related to servitization transformation, remain undeveloped. Research limitations/implications: Although the authors tried to include all publications relevant to servitization, some might not have been captured. Evaluation and interpretation relied on the research team and subsequent research workshops. Practical implications: One of the most significant challenges for practitioners of servitization is how to transform a manufacturing organization to exploit the opportunity. This paper consolidates literature regarding servitization, identifying progress concerning key research topics and contributing a platform for future research. The goal is to inform research to result eventually in a roadmap for practitioners seeking to servitize. Originality/value: Although extant reviews of servitization identify themes that are examined well, they struggle to identify unanswered questions. This paper addresses this gap by focusing on servitization as a process of organizational change.

479 citations


Cites background from "Non-linear relationship between ind..."

  • ...Research is also appearing that examines network structures/configurations, capabilities, and relationships with intermediaries (e.g., distributors, agencies, and dealers) to support types of services (Bikfalvi et al., 2013; Kohtamäki et al., 2013; Nordin et al., 2013; Chakkol et al., 2014)....

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  • ...…(i.e., risk, information, operational, legal adaptations, norms, social capital, and trust) for differing service types (Sakao et al., 2013; Kohtamäki et al., 2013; Selviaridis and Norrman, 2014), combined with disparities regarding buying processes between buying goods and services…...

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Cites background from "Non-linear relationship between ind..."

  • ...Nevertheless, recent empirical studies indicate that the addition of services is not a guarantee of increased firm performance (Benedetti et al., 2015; Kohtamäki et al., 2013; Kowalkowski, Windahl, Kindström, & Gebauer, 2015; Suarez et al., 2013)....

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References
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Journal ArticleDOI
TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Abstract: This article examines the adequacy of the “rules of thumb” conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice. Using a 2‐index presentation strategy, which includes using the maximum likelihood (ML)‐based standardized root mean squared residual (SRMR) and supplementing it with either Tucker‐Lewis Index (TLI), Bollen's (1989) Fit Index (BL89), Relative Noncentrality Index (RNI), Comparative Fit Index (CFI), Gamma Hat, McDonald's Centrality Index (Mc), or root mean squared error of approximation (RMSEA), various combinations of cutoff values from selected ranges of cutoff criteria for the ML‐based SRMR and a given supplemental fit index were used to calculate rejection rates for various types of true‐population and misspecified models; that is, models with misspecified factor covariance(s) and models with misspecified factor loading(s). The results suggest that, for the ML method, a cutoff value close to .95 for TLI, BL89, CFI, RNI, and G...

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"Non-linear relationship between ind..." refers methods in this paper

  • ...Following the application of these dimensions, the structural model demonstrated a good model fit: χ2 = 50.35, degree of freedom (d.f.) = 48, p = .38, χ2/d.f. = 1.05, RMSEA = .022, GFI = .93, CFI =.995, and IFI = .995 (Bollen, 1989; Hu & Bentler, 1999)....

    [...]

  • ...Following the application of these dimensions, the structuralmodel demonstrated a good model fit: χ2 = 54.07, degree of freedom (df) = 48, p = .25, χ2/d.f. = 1.13, RMSEA = .035, GFI = .92, CFI = .99, and IFI = .99 (Bollen, 1989; Hu & Bentler, 1999)....

    [...]

Book
01 Jan 1983
TL;DR: In this Section: 1. Multivariate Statistics: Why? and 2. A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques.
Abstract: In this Section: 1. Brief Table of Contents 2. Full Table of Contents 1. BRIEF TABLE OF CONTENTS Chapter 1 Introduction Chapter 2 A Guide to Statistical Techniques: Using the Book Chapter 3 Review of Univariate and Bivariate Statistics Chapter 4 Cleaning Up Your Act: Screening Data Prior to Analysis Chapter 5 Multiple Regression Chapter 6 Analysis of Covariance Chapter 7 Multivariate Analysis of Variance and Covariance Chapter 8 Profile Analysis: The Multivariate Approach to Repeated Measures Chapter 9 Discriminant Analysis Chapter 10 Logistic Regression Chapter 11 Survival/Failure Analysis Chapter 12 Canonical Correlation Chapter 13 Principal Components and Factor Analysis Chapter 14 Structural Equation Modeling Chapter 15 Multilevel Linear Modeling Chapter 16 Multiway Frequency Analysis 2. FULL TABLE OF CONTENTS Chapter 1: Introduction Multivariate Statistics: Why? Some Useful Definitions Linear Combinations of Variables Number and Nature of Variables to Include Statistical Power Data Appropriate for Multivariate Statistics Organization of the Book Chapter 2: A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques Some Further Comparisons A Decision Tree Technique Chapters Preliminary Check of the Data Chapter 3: Review of Univariate and Bivariate Statistics Hypothesis Testing Analysis of Variance Parameter Estimation Effect Size Bivariate Statistics: Correlation and Regression. Chi-Square Analysis Chapter 4: Cleaning Up Your Act: Screening Data Prior to Analysis Important Issues in Data Screening Complete Examples of Data Screening Chapter 5: Multiple Regression General Purpose and Description Kinds of Research Questions Limitations to Regression Analyses Fundamental Equations for Multiple Regression Major Types of Multiple Regression Some Important Issues. Complete Examples of Regression Analysis Comparison of Programs Chapter 6: Analysis of Covariance General Purpose and Description Kinds of Research Questions Limitations to Analysis of Covariance Fundamental Equations for Analysis of Covariance Some Important Issues Complete Example of Analysis of Covariance Comparison of Programs Chapter 7: Multivariate Analysis of Variance and Covariance General Purpose and Description Kinds of Research Questions Limitations to Multivariate Analysis of Variance and Covariance Fundamental Equations for Multivariate Analysis of Variance and Covariance Some Important Issues Complete Examples of Multivariate Analysis of Variance and Covariance Comparison of Programs Chapter 8: Profile Analysis: The Multivariate Approach to Repeated Measures General Purpose and Description Kinds of Research Questions Limitations to Profile Analysis Fundamental Equations for Profile Analysis Some Important Issues Complete Examples of Profile Analysis Comparison of Programs Chapter 9: Discriminant Analysis General Purpose and Description Kinds of Research Questions Limitations to Discriminant Analysis Fundamental Equations for Discriminant Analysis Types of Discriminant Analysis Some Important Issues Comparison of Programs Chapter 10: Logistic Regression General Purpose and Description Kinds of Research Questions Limitations to Logistic Regression Analysis Fundamental Equations for Logistic Regression Types of Logistic Regression Some Important Issues Complete Examples of Logistic Regression Comparison of Programs Chapter 11: Survival/Failure Analysis General Purpose and Description Kinds of Research Questions Limitations to Survival Analysis Fundamental Equations for Survival Analysis Types of Survival Analysis Some Important Issues Complete Example of Survival Analysis Comparison of Programs Chapter 12: Canonical Correlation General Purpose and Description Kinds of Research Questions Limitations Fundamental Equations for Canonical Correlation Some Important Issues Complete Example of Canonical Correlation Comparison of Programs Chapter 13: Principal Components and Factor Analysis General Purpose and Description Kinds of Research Questions Limitations Fundamental Equations for Factor Analysis Major Types of Factor Analysis Some Important Issues Complete Example of FA Comparison of Programs Chapter 14: Structural Equation Modeling General Purpose and Description Kinds of Research Questions Limitations to Structural Equation Modeling Fundamental Equations for Structural Equations Modeling Some Important Issues Complete Examples of Structural Equation Modeling Analysis. Comparison of Programs Chapter 15: Multilevel Linear Modeling General Purpose and Description Kinds of Research Questions Limitations to Multilevel Linear Modeling Fundamental Equations Types of MLM Some Important Issues Complete Example of MLM Comparison of Programs Chapter 16: Multiway Frequency Analysis General Purpose and Description Kinds of Research Questions Limitations to Multiway Frequency Analysis Fundamental Equations for Multiway Frequency Analysis Some Important Issues Complete Example of Multiway Frequency Analysis Comparison of Programs

53,113 citations

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TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
Abstract: Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.

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01 Jan 1991
TL;DR: In this article, the effects of predictor scaling on the coefficients of regression equations are investigated. But, they focus mainly on the effect of predictors scaling on coefficients of regressions.
Abstract: Introduction Interactions between Continuous Predictors in Multiple Regression The Effects of Predictor Scaling on Coefficients of Regression Equations Testing and Probing Three-Way Interactions Structuring Regression Equations to Reflect Higher Order Relationships Model and Effect Testing with Higher Order Terms Interactions between Categorical and Continuous Variables Reliability and Statistical Power Conclusion Some Contrasts Between ANOVA and MR in Practice

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Book
28 Apr 1989
TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
Abstract: Model Notation, Covariances, and Path Analysis. Causality and Causal Models. Structural Equation Models with Observed Variables. The Consequences of Measurement Error. Measurement Models: The Relation Between Latent and Observed Variables. Confirmatory Factor Analysis. The General Model, Part I: Latent Variable and Measurement Models Combined. The General Model, Part II: Extensions. Appendices. Distribution Theory. References. Index.

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Frequently Asked Questions (10)
Q1. What have the authors contributed in "Non-linear relationship between industrial service offering and sales growth: the moderating role of network capabilities" ?

In this paper, the authors proposed that the relationship between the service offering and sales growth is positive but can be non-linear, which would imply that performance effects arising from an expanded industrial service offering may only pay off after a certain point. 

Future research could consider how to improve the measurement of an industrial service strategy. In addition, future industrial service studies should use both quantitative and qualitative methods to examine the organizational factors that affect the relationship between service strategy and performance. Thus, the authors would encourage further development of the network capabilities construct and its measurement. However, the authors believe that their measurement method is more finegrained than the methods used in prior studies because it measures the degree of activeness in offering services. 

It appears that network capabilities enable the service offering to exert a positive non-linear effect on sales growth, suggesting an increased emphasis on the service offering and the necessary organizational capabilities to co-produce service and solution offering and to co-create customer's experience. 

According to Walter et al. (2006), network capabilities include four inter-related dimensions: coordination, relational skills, market knowledge and internal communication. 

the authors believe that their measurement method is more finegrained than the methods used in prior studies because it measures the degree of activeness in offering services. 

Their measurement method is more fine-grained because it measures the promotional emphasis on each service separately and considers the shared variance between service dimensions as a reflection of the existence of an industrial service strategy. 

This implies a non-linear relationship between the service offering and sales performance is expected, as narrow or moderate range of add-on services are likely to be insufficient to generate a perception of highly valuable integrated solutions among the customer base. 

network capabilities are particularly important in effective adjustment of the supplier's offering to provide customer solutions without vast transaction costs (Helander & Möller, 2007). 

In addition, future industrial service studies should use both quantitative and qualitative methods to examine the organizational factors that affect the relationship between service strategy and performance. 

relational skills are of importance from moderate to high levels of service offering, where service and solution exchanges require relational skills.