• No results found

Hoofdstuk 5 Conclusies en aanbevelingen

5.4 Aanbevelingen toekomstig academisch onderzoek

In deze subparagraaf komen de aanbevelingen voor toekomstig academisch onderzoek aan bod. Een eerste aanbeveling voor toekomstig academisch onderzoek is dat de onderzoeker er

rekening mee moet houden dat bedrijven uit bepaalde sectoren relatief vaker database marketing activiteiten uitvoeren en tevens relatief vaak bereid zijn mee te werken aan een onderzoek op deze gebieden. Wanneer de onderzoeker dit in ogenschouw houdt, kan er een evenwichtige verdeling van de responderende bedrijven over de verschillende sectoren binnen het Nederlandse bedrijfsleven bereikt worden. Aan de hand hiervan wordt de representativiteit van het toekomstige academische onderzoek gewaarborgd.

Eén vraag in het huidige onderzoek leverde niet de gewenste empirische resultaten op, namelijk de volgende vraag: ‘Welke informatie over de individuele klant is er vanuit de

praktijk verder benodigd om het gebruik van de voorspelling van de CLV van de individuele klant binnen de bedrijfsvoering verder te bevorderen/ verbeteren?’. De vraag moet in

toekomstig onderzoek anders worden geformuleerd zodat een onjuiste interpretatie

voorkomen wordt. De opnieuw geformuleerde vraag moet middels een pre-test getest worden op de duidelijkheid en begrijpbaarheid. Dit is de tweede aanbeveling voor toekomstig

academisch onderzoek.

In het huidige onderzoek is de indirecte waarde van de individuele klant voor het bedrijf achterwege gelaten bij de voorspelling van de CLV van de desbetreffende klant. In enkele recente academische studies komt naar voren dat de indirecte waarde, in de zin van mond-op-mond effecten en referrals, van een klant mee genomen dient te worden bij de vaststelling van de CLV van de desbetreffende klant (Hogan, Lemon & Libai, 2003; Lee, Lee & Feick, 2006). De derde aanbeveling voor toekomstig academisch onderzoek houdt dan ook in dat er rekening gehouden dient te worden met de indirecte waarde van de individuele klant voor het bedrijf.

Er is gebleken in het huidige onderzoek dat bedrijven die veel gebruik maken van direct marketing (meer dan één keer per week) relatief vaker behoefte hebben aan meer empirisch bewijs van het nut van de voorspelling van de CLV van de individuele klant voor multichannel shopping. De vierde aanbeveling voor toekomstig academisch onderzoek is dan ook dat dit verband uitgebreider beschreven en onderzocht wordt.

Literatuur

Alsem, K. J. (2005), Strategische Marketingplanning, Wolters-Noordhoff, Groningen, 4e druk.

Amit, R., & Schoemaker, P. J. H. (1993), ‘Strategic assets and organizational rents’, Strategic

Management Journal, vol. 14 issue 1, p. 33-46.

Anderson, E. W., & Mittal, V. (2000), ‘Strengthening the Satisfaction-Profit Chain’, Journal

of Service Research, vol. 3 issue 2, p. 107-121.

Ang, L., & Buttle, F. (2006), ‘CRM software applications and business performance’, Journal

Of Database Marketing & Customer Strategy Management, vol. 14 issue 1, p. 4-16.

Armstrong, J. S., & Overton, T. S. (1977), ‘Estimating Nonresponse Bias in Mail Surveys’,

Journal of Marketing Research, vol. 14 issue 3, p. 396-402.

Ascoly, N., van Halsema, I., & Keysers, L. (2001), ‘Refugee woman, pregnancy and reproductive health care in the Netherlands’, Journal of Refugee Studies, vol. 14, p. 371-393.

Assael, H., & Roscoe, A. M. Jr. (1976), ‘Approaches to Market Segmentation Analysis,

Journal of Marketing, vol. 40 issue 4, p. 67-76.

Badgett, M., & Stone, M. (2005), ‘Multidimensional segmentation at work: Driving an

Operational model that integrates customer segmentation with customer management’,

Journal of Targeting, Measurement & Analysis for Marketing, vol. 13 issue 2,

p. 103-121.

Baesens, B., Viaene, S., Van den Poel, D., Vanthienen, J., & Dedene, G. (2002), ‘Bayesian neural network learning for repeat purchase modeling in direct marketing’, European

Journal of Operational Research, vol. 138 issue1, p. 191-211.

McGraw-Hill, New York.

Barney, J. B. (1991), ‘Firm resources and sustained competitive advantage’, Journal of

Management, vol. 17 issue 1, p. 99-120.

Barney, J. B. (2001), ‘Resource-based theories of competitive advantage: A ten-year retrospective on the resource-based view’, Journal of Management, vol. 27 issue 6, p. 643-650.

Barney, J. B., Wright, M., & Ketchen, D. J. (2001), ‘The resource-based view of the firm: Ten years after 1991’, Journal of Management, vol. 27 issue 6, p. 625-641.

Barron, J., & Hollingshead, J. (2002), ‘Making segmentation work’, Marketing Management, vol. 11 issue 1, p. 24-28.

Bass, F. M., & Talarzyk, W. W. (1972), ‘An Attitude Model for the Study of Brand Preference’, Journal of Marketing Research, vol. 9 issue 1, p. 93-96.

Bauer, C. L. (1988), ‘A direct mail customer purchase model’, Journal of Direct Marketing, vol. 2 issue 3, p. 16-24.

Beane, T. P., & Ennis, D. M. (1987), ‘Market Segmentation: A Review’, European Journal of

Marketing, vol. 21 issue 5, p. 20-42.

Bellis-Jones, R. (1989), ‘Customer profitability analysis’, Management Accounting, vol. 67 issue 2, p. 26-28.

Berry, L. L. (1979), ‘The time-buying consumer’, Journal of Retailing, vol. 55 issue 4, 9. 58- 69.

Berger, P. D., Bolton, R. N., Bowman, D., Briggs, E., Kumar, V., Parasuraman, A., & Terry, C. (2002), ‘Marketing Actions and the Value of Customer Assets: A Framework for Customer Asset Management’, Journal of Service Research, vol. 1 issue 5, p. 39-54.

Berger, P. D., Eechambadi, N., George, M., Lehmann, D. R., Rizley, R., & Venkatesan, R. (2006), ‘Form Customer Lifetime Value to Shareholder Value. Theory, Empirical Evidence and Issues for Future Research’, Journal of Service Research, November, vol. 9 issue 2, p. 156-167.

Berger, P. D., & Nasr, N. I. (1998), ‘Customer Lifetime Value: Marketing Models and

Applications’, Journal of Interactive Marketing, winter, vol. 12 issue 1, p. 17-30.

Berger, P. D., Weinberg, B., & Hanna, R. C. (2003), ‘Customer lifetime value determination and strategic implications for a cruise-ship company’, Journal of Database Marketing

& Customer Strategy Management, vol. 11 issue 1, p. 40-52.

Bharadwaj, S. F., Varadarajan, P. R., & Fahy, J. (1993), ‘Sustainable competitive advantage in service industries: a conceptual model and research propositions’, Journal of

Marketing, vol. 57 issue 4. p. 83-99.

Bhattacharyya, S. (1999), ‘Direct Marketing Performance Modeling Using Genetic Algorithms, Journal on Computing, vol. 11 issue 3, p. 248-257.

Bittmann, R. M., & Gelbard, R. M. (2007), ‘Decision-making method using a visual approach for cluster analysis problems; indicative classification algorithms and grouping score’,

Expert Systems, vol. 24 issue 3, p. 171-187.

Blattberg, R. C., & Deighton, J. (1996), ‘Manage Marketing by the Customer Equity Test,

Harvard Business Review, vol. 74 issue 4, p. 136-144.

Blattberg, R. C., Getz, G., & Thomas, J. S. (2001), Customer Equity: Building and Managing

Relationships as Assets, Harvard Business School Press, Boston.

Blattberg, R. C., & Sen, S. K. (1976), ‘Market Segments and Stochastic Brand Choice Models’, Journal of Marketing Research, vol. 13 issue 1, p. 34-45.

Boivin, J., & Ng, S. (2006), ‘Are more data always better for factor analysis?’, Journal of

Bolton, R. N., Lemon, K. N., & Verhoef, P. (2004), ‘The Theoretical Underpinnings of Customer Asset Management: A Framework and Propositions for Future Research’,

Journal of the Academy of Marketing Science, vol. 32 issue 3, p. 271-292.

Bonoma, T. V., & Shapiro, B. P. (1983), Segmenting the Industrial Market, Free Press, New York.

Boone, D. S., & Roehm, M. (2002), ‘Retail segmentation using artificial neural networks’,

International Journal of Research in Marketing, vol. 19 issue 3, p. 287-301.

Borooah, V. K. (2002), Logit and Probit, Sage Publications, Thousand Oaks, California. Boulding, W., Staelin, R., Ehret, M., & Johnston, W. J. (2005), ‘A Customer Relationship

Management Roadmap: What is Known, Potential Pitfalls, and Where to Go’, Journal

of Marketing, vol. 69 issue 4, p. 155-166.

Breiman, L., Friedman, J., Olshen, R., & Stone, C. (1984), Classification and Regression

Trees, Wadsworth, Monterey.

Brodie, R. J., Coviello, N. E., Brookes, R. W., & Little, V. (1997), ‘Towards a Paradigm Shift in Marketing? An Examination of Current Marketing Practices, Journal of Marketing

Management, vol. 13 issue 5, p. 383-406.

Buckinx, W., & Van den Poel, D. (2005), ‘Customer base analysis: partial defection of behaviorally loyal clients in a non-contractual FMCG retail setting’, European

Journal of Operational Research, vol. 164 issue 1, p. 252-268.

Bult, J. R., & Wansbeek, T. (1995), ‘Optimal selection for direct mail’, Marketing Science, vol. 14 issue 4, p. 378-394.

Chaturvedi, A., Carrroll, J. D., Green, P. E., & Rotondo, J. A. (1997), ‘A feature-based approach to market segmentation via overlapping K-centroids clustering’, Journal of

Choffray, J. M., & Lilien, G. L. (1978), ‘A New Approach to Industrial Market Segmentation’, Sloan Management Review, vol. 19 issue 3, p. 17-29.

Choffray, J. M., & Lilien, G. L. (1980), Marketing Planning for New Industrial Products, John Wiley and Sons, New York.

Clark, I. (1997), Globalization and fragmentation, Oxford University Press, Oxford.

Clemons, E. K., & Weber, B. W. (1994), ‘Segmentation, differentiation and flexible pricing: experiences with information technology and segment-tailored strategies’, Journal of

Management Information Systems, vol. 11 issue 2, p. 9-36.

Collins, S. (2001), ‘Predictable Response’, ABA Bank Marketing, vol. 33 issue 6, p. 24-25 + 77-79

Cody, D. (2000), ‘Analytical CRM: increasing lifetime customer value through prediction’,

Serverworld Magazine, no. 12 In: Gurău, C., & Ranchhod, A. (2002), ‘How to

Calculate the Value of a Customer. Measuring customer satisfaction: A platform for calculating, predicting and increasing customer profitability’, Journal of Targeting,

Measurement and Analysis for Marketing, vol. 10 issue 3, p. 203-219.

Colombo, R., & Jiang, W. (1999), ‘A Stochastic RFM Model’, Journal of Interactive

Marketing, vol. 13 issue 3, p. 2-23.

Connolly, T., & Ashworth, G. (1994), ‘Managing customers for profit’, Management

Accounting: Magazine for Chartered Management Accountants, vol. 72 issue 4,

p. 34-40.

Cooper, D. R., & Schindler, P. A. (2003), Business Research Methods, McGraw-Hill, New

York, eight edition.

Cornwell, T. B., & Drennan, J. (2004), ‘Cross-Cultural Consumer/Consumption Research: Dealing with Issues Emerging from Globalization and Fragmentation’, Journal of

Macromarketing, vol. 2 issue 2, p. 108-121.

Crawford, I. M., & Lomas, R. A. (1980), ‘Factor Analysis – A Tool for Data Reduction’,

European Journal of Marketing, vol. 14 issue 7, p. 414-422.

Crone, S. F., Lessmann, S., & Stahlbock, R. (2006), ‘The impact of processing on data

mining: An evaluation of classifier sensitivity in direct marketing’, European Journal

of Operational Research, vol. 173 issue 3, p. 781-800.

Cui, G., Wong, M. L., & Lui, H. K. (2006), ‘Machine Learning for Direct Marketing

Response Models: Bayesian Networks with Evolutionary Programming’, Management

Science, vol. 54 issue 4, p. 597-612.

Darden, W. R., & Reynolds, F. D. (1974), ‘Backward Profiling of Male Innovators’, Journal

of Marketing Research, vol. 11 issue 1, p. 79-85.

Darlington, R. B. (1990), Regression and linear models, McGraw-Hill, New York. Davenport, T. H., Harris, J. G., De Long, D. W., & Jacobson, A. L. (2001), ‘Data to

Knowledge to Results: Building an analytic capability’, California Management

Review, vol. 43 issue 2, p. 117-138.

Deshpande, R., & Webster, F. E. (1989), ‘Organizational Culture and Marketing: Defining the Research, Journal of Marketing, vol. 53 issue 1, p. 3-15.

Dibb, S., & Simkin, L. (1997), ‘A program for implementing market segmentation’, Journal

of Business & Industrial Marketing, vol. 12 issue 1, p. 51-65.

Dibb, S., & Simkin, L. (2001), ‘Market Segmentation: Diagnosing and Treating the Barriers’,

Industrial Marketing Management, vol. 30 issue 8, p. 609-625.

Dibb, S., Simkin, L., Pride, W., & Ferrell, O. C. (1997), Marketing Concepts and Strategies, Houghton Mifflin, Boston.

Dickson, P. R. (1982), ‘Person-Situation: Segmentation’s Missing Link’, Journal of

Marketing, vol. 46 issue 4, p. 56-64.

Dierickx, I. & Cool, K. (1989), ‘Asset stock accumulation and sustainability of competitive

advantage, Management Science, vol. 35 issue 12, p. 1504-1510.

Dowling, G. R., & Uncles, M. (1997), ‘Do Customer Loyalty Programs Really Work?’, Sloan

Management Review, vol. 38 issue 4, p. 71-82.

Doyle, P. (2000), Value-based marketing: Marketing Strategies for Corporate Growth and

Shareholder Value, John Wiley & Sons, Chichester.

Doyle, P., & Hutchinson, P. (1976), ‘The Identification of Target Markets’, Decision

Sciences, vol. 7 issue 3, p. 152-161.

Dréze, X., & Bonfrer, A. (2003), ‘A Renewable-Resource Approach to Database Valuation’,

http://www.smu.edu.sg/centres/wsrc/pdfs/ABonfrer-XDreze_DatabaseValn.pdf.

Drozdenko, R. G., & Drake, P. D. (2002), Optimal database marketing: strategy,

development, and data mining, Sage Publications, Thousand Oaks.

Drton, M., Sturmfels, B., & Sullivant, S. (2007), ‘Algebraic factor analysis: tetrads, pentads

and beyond’, Probability Theory & Related Fields, vol. 138 issue 3/4, p. 463-493.

Drucker, P. (1954), The Practice of Management, HarperCollins, New York.

Dutta, S., & Biswas, A. (2005), ‘Effects of low price guarantees on consumer post-purchase search intention: The moderating roles of value consciousness and penalty level’,

Journal of Retailing, vol. 81 issue 4, p. 283-291.

Dwyer, R. F. (1989), ‘Customer Lifetime Valuation to Support Marketing Decision Making’,

Journal of Direct Marketing, vol. 3 issue 4, p. 8-15.

Research, vol. 7 issue 3, p. 48-57.

Fadlalla, A., & Lin, C. H. (2001), ‘An Analysis of the Applications of Neural Networks in

Finance’, Interfaces, vol. 31 issue 4, p. 112-123.

Feldman, L. P., & Hornik, J. (1981), ‘The use of time: An integrated conceptual model’,

Journal of Consumer Research, vol. 7, p. 407-419.

Flambard-Ruaud, S. (2005), ‘Relationship Marketing in Emerging Economies: Some Lessons For the Future’, The Journal for Decision Makers, vol. 30 issue 3, p. 53-63.

Fletcher, K., & Wright, G. (1996), ‘The Role of Organizational Factors in the Adoption and Sophistication of Database Marketing in the UK Financial Services Industry’, Journal

of Direct Marketing, vol. 10 issue 1, p. 10-21.

Fonseca, J. R. S., & Cardoso, M. G. M. S. (2007), ‘Mixture-model cluster analysis using information theoretical criteria’, Intelligent Data Analysis, vol. 11 issue 2, p. 155-173. Forsyth, J., Gupta, S., Haldar, S., Kaul, A., & Kettle, K. (1999), ‘A segmentation you can act

on’, McKinsey Quarterly, vol. 3, p. 6-15.

Frank, R., Massy, W., & Wind, Y. (1972), Market Segmentation, Prentice-Hall, Englewood Cliffs.

Frawley, A., & Thearling, K. (1999), ‘Increasing Customer Value by Integrating Data Mining and Campaign Management Software’, Direct Marketing, vol. 61 issue 10, p. 49-54. Frawley, W., Piatetsky-Shapiro, G., & Matheus, C. (1992), ‘Knowledge Discovery in

Databases: An Overview’, Ai Magazine, Fall 1992, p. 57-70.

Friedman, M., Last, M., Makover, Y., & Kandel, A. (2007), ‘Anomaly detection in web documents using crisp and fuzzy-based cosine clustering methodology’, Information

Funkhouser, G. R. (1983), ‘A Note on the Reliability of Certain Clustering Algorithms’,

Journal of Marketing Research, vol. 20 issue 1, p. 99-102.

Galguera, L., Luna, D., & Méndez, M. Paz. (2006), ‘Predictive segmentation in action: Using CHAID to segment loyalty card holders’, International Journal of Market Research, vol. 48 issue 4, p. 459-479.

Garda, R. A. (1981), ‘Strategic Segmentation: How to carve niches for growth in industrial

markets’, Management Review, vol. 70 issue 8, p. 15-22.

Garver, M. S. (2002), ‘Try new data-mining techniques’, Marketing News, vol. 36 issue 19,

p. 31-33.

Gibbs, P. T. (1998), ‘Time, temporality and consumer behaviour; A review of the literature and implications for certain financial services’, European Journal of Marketing, vol. 32 issue 11/12, p. 936-1007.

Gibson, L. D. (2001), ‘Is something rotten in segmentation?’, Marketing Research, vol. 13 issue 1, p. 20-25.

Goldberg, D. A. (1989), Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading.

Goldberg, D. A. (1994), ‘Genetic and Evolutionary Algorithms Come of Age’,

Communications of the ACM, vol. 37 issue 3, p. 113-119.

Grant, A. W. H., & Schlesinger, L. A. (1995), ‘Realize Your Customers’ Full Profit Potential,

Harvard Business Review, vol. 73 issue 5, p. 59-72.

Grapentine, T., & Boomgaarden, R. (2003), ‘Maladies of Market Segmentation’, Marketing

Research, vol. 15 issue 1, p. 27-30.

Green, P. E. (1977), ‘A New Approach to Market Segmentation’, Business Horizons, vol. 20 issue 1, p. 61-74.

Green, P. E., & DeSarbo, W. S. (1979), ‘Componential Segmentation in the Analysis of Consumer Trade-Offs’, Journal of Marketing, vol. 43 issue 4, p. 83-91.

Green, P. E., Halbert, M. H., & Robinson, P. J. (1966), ‘Canonical Analysis: An Exposition and Illustrative Application’, Journal of Marketing Research, vol. 3 issue 1, p. 32-39. Green, P. E., & Krieger, A. M. (1991), ‘Segmenting Markets with Conjoint Analysis’,

Journal of Marketing, vol. 55 issue 4, p.20-32.

Green, P. E., & Tull, D. S. (1978), Research for Marketing Decisions, Prentice-Hall, Englewood Cliffs, New Jersey, fourth edition.

Grønholdt, L., & Martensen, A. (2005), ‘Analysing customer satisfaction data: a comparison Of regression and artificial neural networks’, International Journal of Market

Research, vol. 47 issue 2, p. 121-130.

Grönroos, C. (1999), ‘Relationship Marketing: Challenges for the Organization’, Journal of

Business Research, vol. 46 issue 3, p. 327-335.

Grönroos, C. (2003), ‘Taking a customer focus back into the boardroom: can relationship marketing do it?’, Marketing Theory, vol. 3 issue 1, p. 171- 173.

Gruen, T. W., Summers, J. O., & Acito, F. (2000), ‘Relationship Marketing, Activities, Commitment and Membership Behaviours in Professional Associations’, Journal

of Marketing, vol. 64 issue 3, p. 34-49.

Grznar, J., Prasad, S., & Tata, J. (2007), ‘Neural networks and organizational systems:

Modeling non-linear relationships’, European Journal of Operational Research, vol.

181 issue 2, p. 939-955.

Gupta, P. K. (2006), ‘Technologies & Trends in Data Storage World, Siliconindia, vol. 10 issue 4, p. 36-37.

Gupta, S., Hanssens, D., Hardie, B., Kahn, W., Kumar, V., Lin, N., Sriram, S., &

Ravishanker, N. (2006), ‘Modeling Customer Lifetime Value’, Journal of Service

Research, vol. 9 issue 2, p. 139-155.

Gupta, S., & Lehmann, D. R. (2003), ‘Customers as Assets’, Journal of Interactive

Marketing, vol. 17 issue 1, p. 9-24.

Gupta, S., & Lehmann, D. R. (2005), Managing Customers as Investments, Wharton School

Publishing, Philadelphia.

Gurău, C., & Ranchhod, A. (2002), ‘How to Calculate the Value of a Customer. Measuring customer satisfaction: A platform for calculating, predicting and increasing customer

profitability’, Journal of Targeting, Measurement and Analysis for Marketing, vol. 10

issue 3, p. 203-219.

Ha, K., Cho, S., & Machlachlan, D. (2005), ‘Response models based on bagging neural Networks’, Journal of Interactive Marketing, vol. 19 issue 1, p. 17-30.

Ha, S. H., & Park, S. C. (1998), ‘Application of data mining tools to hostel data mart on the Internet for database marketing’, Expert Systems with Applications, vol. 15 issue 5,

p. 491-493.

Hall, R. (1992), ‘The strategic analysis of intangible resources’, Strategic Management

Journal, vol. 13, p. 134-144/

Hall, R. (1993), ‘A framework linking intangible resources and capabilities to sustainable

competitive advantage’, Strategic Management Journal, vol. 14, p. 607-618.

Hammermesh, R. G., Anderson, M. J., & Harris, J. E. (1978), ‘Strategies for low market share

businesses’, Harvard Business Review, no. 56, p. 95-102

Hand, D., Mannila, H., & Smyth, P. (2001), Principles of Data Mining, MIT Press, Cambridge, MA.

Hart, S., Smith, A., Sparks, L., & Tzokas, N. (1999), ‘Are Loyalty Schemes a Manifestation of Relationship Marketing?’, Journal of Marketing Management, vol. 15 issue 6, p. 541-562.

Haughton, D., & Oulabi, S. (1997), ‘Direct marketing modeling with CART and CHAID’,

Journal of Direct Marketing, vol. 11 issue 4, p. 42-52.

Haykin, S. (1999), Neural Networks: A comprehensive foundation, Prentice Hall, New Jersey. Hecht-Nielsen, R. (1990), Neurocomputing, Addison-Wesley, Reading, MA.

Hedaa, L., & Ritter, T. (2005), ‘Business relationships on different waves: Paradigm shift and marketing orientation revisited’, Industrial Marketing Management, vol. 34 issue 7, p. 714-721.

Heeler, R. M., Whipple, T. W., & Hustad, T. P. (1977), ‘Maximum Likelihood Factor Analysis of Attitude Data’, Journal of Marketing Research, vol. 14 issue 1, p. 42-51. Helgesen, O. (2006), ‘Customer segments based on customer account profitability’, Journal

of Targeting, Measurement & Analysis for Marketing, vol. 14 issue 3, p. 225-237.

Hitt, M. A., Bierman, L., Shimizu, K., & Kochhar, R. (2001), ‘Direct and moderating effects of human capital on strategy and performance in professional service firms: a

resource-based perspective’, Academy of Management Journal, vol. 44 issue 1,

p. 13-26.

Hogan, J. E., Lemon, K. N., & Libai, B. (2003), ‘What Is the True Value of a Lost Customer?’, Journal of Service Research, vol. 5 issue 3, p. 196-208.

Hogan, J. E., Lemon, K. N., & Rust, R. T. (2002), ‘Customer Equity Management: Charting New Directions for the Future of Marketing’, Journal of Service Research, vol. 5 issue1, p. 4-12.

Manager’s Minefield’, European Journal of Marketing, vol. 14 issue 7, p. 379-387. Hooley, G. J., Geenley, G., Fahy, J., & Cadogan, J. (2001), Market-focused Resources,

Competitive Positioning and Firm Performance, Journal of Marketing Management, vol. 17 issue 5/6, p. 503-521.

Hooley, G. J., & Saunders, J. A. (1993), Competitive Positioning: The Key to Market Success, Prentice-Hall, Englewood Cliffs, New Jersey.

Horowitz, J. L., & Savin, N. E. (2001), ‘Binary Response Models: Logits, Probits and Semiparametrics’, Journal of Economic Perspectives, vol. 15 issue 4, p. 43-56.

Howell, R. A., & Soucy, S. R. (1990), ‘Customer profitability as critical product profitability’,

Management Accounting, vol. 65 issue 1, p. 1-16.

Hughes, A., & Wang, P. (1995), ‘Media selection for database marketers’, Journal of Direct

Marketing, vol. 9 issue 1, p. 79-84.

Hughes, A. M. (1994), Strategic database marketing, Probus Publishing, Chicago.

Hughes, A. M. (2001), ‘Building successful retail strategies using customer lifetime value’,

www.dbmarketing.com/articles/Art181.htm.

Huizingh, E. (2004), Inleiding SPSS 12.0 voor Windows, Academic Service, Den Haag. Ip, B., & Jacobs, G. (2005), ‘Segmentation of the games market using multivariate analysis’,

Journal of Targeting, Measurement & Analysis for Marketing, vol. 13 issue 3,

p. 275-287.

Jacobs, F. A., Johnston, W., & Kotchetoya, N. (2001), ‘Customer profitability: Prospective vs. retrospective approaches in a business-to-business setting’, Industrial Marketing

Management, vol. 30 issue 4, p. 353-363.

p. 275-291.

Jain, D., & Singh, S. S. (2002), ‘Customer Lifetime Value Research in Marketing: A Review

and Future Directions’, Journal of Interactive Marketing, vol. 16 issue 2, p. 34-46.

Jenkinson, A. (2006), ‘Do organisations now understand the importance of information in

providing excellent customer experience?’, Journal of Database Marketing &

Customer Strategy Management, vol. 13 issue 4, p. 248-260.

Jentsch, B., Durham, R., Hundley, V., & Hussein, J. (2007), ‘Creating consumer satisfaction in maternity care: the neglected needs of migrants, asylum seekers and refugees’,

International Journal of Consumer Studies, vol. 31 issue 2, p. 128-134.

Jobber, D. (2004), Principles and Practice of Marketing, McGraw-Hill International, New York, 4th edition.

Jonker, J. J., Paap, R., & Franses, P. H. B. F. (2002), 'Modeling Charity Donations: Target Selection, Response Time and Gift Size’, Economic Institute Report 2000-07/A (Economic Institute, Erasmus University Rotterdam), p. 1-35.

Kahan, R. (1998), ‘Using database marketing techniques to enhance your one-to-one marketing initiatives’, Journal of Consumer Marketing, vol. 15 issue 5, p. 491-494. Kalwani, M. U., & Morrison, D. G. (1977), ‘A parsimonious description of the Hendry

system’, Management Science, vol. 23 issue 5, p. 467-477.

Kannan, P. K., & Rao, H. R. (2001), ‘Introduction to the special issue: decision support issues in customer relationship management’, Decision Support Systems, vol. 32, p. 83-84. Karlsson, A. (2007), ‘Introduction to Linear Regression Analysis’, Journal of the Royal

Statistical Society, vol. 170 issue 3, p. 856-857.

Kass, G. V. (1980), ‘An Exploratory Technique for Investigating Large Quantities of

Katos, V. (2007), ‘Network intrusion detection: Evaluating cluster, discriminant, and logit

analysis’, Information Sciences, vol. 177 issue 15, p. 3060-3073.

Keane, T. J., & Wang, P. (1995), ‘Applications for the lifetime value model in modern newspaper publishing’, Journal of Direct Marketing, vol. 9 issue 2, p. 59-66. Keller, G., & Warrack, B. (2003), Statistics for management and economics, Thomson

Learning, Pacific Grove, CA, sixth edition.

Keller, K. L., & Lehmann, D. R. (2006), ‘Brands and Branding: Research Findings and Future

Priorities’, Marketing Science, vol. 25 issue 6, p. 740-759.

Ketchen, D. J. Jr., & Shook, C. L. (1996), ‘The Application of Cluster Analysis in Strategic Management Research: An Analysis and Critique’, Strategic Management Journal, vol. 17 issue 6, p. 441-458.

Kim, Y. S., Street, N. W., Russell, G. J., & Menczer, F. (2005), ‘Customer Targeting: A Neural Network Approach Guided by Genetic Algorithms’, Management Science, vol. 52 issue 2. p. 264-276.

Kivetz, R. (2005), ‘Promotion Reactance: The Role of Effort-Reward Congruity’, Journal of

Consumer Research, vol. 3 issue 4, p. 725-737.

Kivetz, R., & Simonsen, I. (2003), ‘The Idiosyncratic Fit Heuristic: Effort Advantage as a Determinant of Consumer Response to Loyalty Programs’, Journal of Marketing

Research, vol. 40 issue 4, p. 454-467.

Kivetz, R., Urminsky, O., & Zheng, Y. (2006), ‘The Goal-Gradient Hypothesis Resurrected: Purchase Acceleration, Illusionary Goal Progress, and Customer Retention’, Journal

of Marketing Research, vol. 43 issue 1, p. 39-51.

Klastorin, T. D. (1983), ‘Assessing Cluster Analysis Results’, Journal of Marketing Research, vol. 20 issue 1, p. 92-98.

Kotler, P. (1980), Principles of Marketing, Prentice-Hall, Englewood Cliffs.

Kotler, P. (1994), Marketing Management, Prentice-Hall, Upper Saddle River, New Jersey.

Kotler, P., & Armstrong, G. (1996), Principles of Marketing, Prentice-Hall, Englewood Cliffs, 7th edition.

Kumar, V., Lemon, K. N., & Parasuraman, A. (2006), ‘Managing Customers for Value: An Overview and Research Agenda’, Journal of Service Research, vol. 9 issue 2, p. 87-94.

Kumar, V., & Petersen, J. A. (2005), ‘Using a Customer-Level Marketing Strategy to Enhance Firm Performance: A Review of Theoretical and Empirical Evidence’,

Journal of the Academy of Marketing Science, vol. 33 issue 4, p. 504-519.

Kumar, V., & Reinartz, W. J. (2006), Customer Relationship Management; A Databased