What Is the Right Delivery Option for You? Consumer Preferences for Delivery Attributes in Online Retailing

Nowadays, online retailers are offering a variety of delivery options consisting of varying combinations of delivery attributes. This study investigates how consumers value these delivery attributes (e.g., delivery speed, time slot, daytime/evening delivery, delivery date, and delivery fee) when selecting a delivery option for their online purchases. Mental accounting theory is used to frame the research and to suggest how mental accounts for money, time, and convenience influence consumer preferences for online delivery options. Specifically, the results of a conjoint analysis show that the most important attribute in shaping consumer preferences is the delivery fee, followed by nonprice delivery attributes. For individual attributes, significant differences are found in consumer preferences between gender and income groups. Cluster analysis reveals three consumer segments that show distinct preference structures: We identify a "price‐oriented," a "time‐ and convenience‐oriented," and a "value‐for‐money‐oriented" consumer segment. This study has practical implications for online retailers when implementing suitable delivery strategies and designing effective delivery options to maximize consumer satisfaction.

[1]  E. Turban Electronic Commerce: A Managerial and Social Networks Perspective , 2015 .

[2]  Paulo Duarte,et al.  How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM , 2018, Journal of Retailing and Consumer Services.

[3]  Scot Burton,et al.  THE LAST MILE: AN EXAMINATION OF EFFECTS OF ONLINE RETAIL DELIVERY STRATEGIES ON CONSUMERS , 2003 .

[4]  Thomas J. Goldsby,et al.  Technology Innovation and New Business Models: Can Logistics and Supply Chain Research Accelerate the Evolution? , 2016 .

[5]  P. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003 .

[6]  D. Southerton Squeezing Time?: allocating practices, co-ordinating networks and scheduling society? , 2003 .

[7]  Moritz Fleischmann,et al.  Revenue management opportunities for Internet retailers , 2013 .

[8]  Girish N. Punj Effect of Consumer Beliefs on Online Purchase Behavior: The Influence of Demographic Characteristics and Consumption Values , 2011 .

[9]  Martin W. P. Savelsbergh,et al.  Incentive Schemes for Attended Home Delivery Services , 2006, Transp. Sci..

[10]  Jo van Nunen,et al.  E-fulfillment and multi-channel distribution - A review , 2006, Eur. J. Oper. Res..

[11]  Kevin Keasey,et al.  Mental accounting and decision making: Evidence under reverse conditions where money is spent for time saved , 2005 .

[12]  Sriram Thirumalai,et al.  Customer satisfaction with order fulfillment in retail supply chains: implications of product type in electronic B2C transactions , 2005 .

[13]  A. Tversky,et al.  Choices, Values, and Frames , 2000 .

[14]  Stanley E. Griffis,et al.  Failure to deliver? Linking online order fulfillment glitches with future purchase behavior , 2011 .

[15]  Jonathan Levav,et al.  Emotional Accounting: How Feelings about Money Influence Consumer Choice , 2009 .

[16]  Gerald L. Lohse,et al.  Predictors of online buying behavior , 1999, CACM.

[17]  Martin W. P. Savelsbergh,et al.  Decision Support for Consumer Direct Grocery Initiatives , 2005, Transp. Sci..

[18]  W. Dullaert,et al.  Consumer Behaviour and Order Fulfilment in Online Retailing: A Systematic Review , 2018 .

[19]  Vithala R. Rao,et al.  Applied Conjoint Analysis , 2014 .

[20]  Alan C. McKinnon,et al.  Physical distribution service quality in online retailing , 2010 .

[21]  R. Ramanathan The moderating roles of risk and efficiency on the relationship between logistics performance and customer loyalty in e-commerce , 2010 .

[22]  Mu-Chen Chen,et al.  Ensuring the quality of e-shopping specialty foods through efficient logistics service , 2014 .

[23]  Cornelia Dröge,et al.  Encounter Satisfaction in E-tailing: Are the Relationships of Order Fulfillment Service Quality with its Antecedents and Consequences Moderated by Historical Satisfaction? , 2014, Decis. Sci..

[24]  Austin Rong-Da Liang,et al.  The role of sunk costs in online consumer decision-making , 2014, Electron. Commer. Res. Appl..

[25]  Chad W. Autry,et al.  Toward Greater Validation of Supply Chain Management Theory and Concepts: The Roles of Research Replication and Meta‐Analysis , 2011 .

[26]  Elliot Rabinovich,et al.  Logistics: The Key to e-Retail Success , 2006 .

[27]  Mental accounting and decision making:: The relationship between relative and absolute savings , 1999 .

[28]  Thomas Reutterer,et al.  The Use of Conjoint-analysis for Measuring Preferences in Supply Chain Design , 2000 .

[29]  M. Morrin,et al.  Shipping charges and shipping-charge skepticism: Implications for direct marketers’ pricing formats , 2005 .

[30]  Michael Lewis The effect of shipping fees on customer acquisition, customer retention, and purchase quantities , 2006 .

[31]  T. van der Lippe Dutch workers and time pressure: household and workplace characteristics , 2007 .

[32]  Yulin Fang,et al.  Understanding online customer repurchasing intention and the mediating role of trust – an empirical investigation in two developed countries , 2009, Eur. J. Inf. Syst..

[33]  Sriram Thirumalai,et al.  Customization of the online purchase process in electronic retailing and customer satisfaction: An online field study , 2011 .

[34]  Diane A. Mollenkopf,et al.  New Frontiers in Logistics Research: Theorizing at the Middle Range , 2017 .

[35]  Yun-Kyung Cho,et al.  Creating customer repurchase intention in Internet retailing: The effects of multiple service events and product type , 2015 .

[36]  J. Holmström,et al.  Solving the last mile issue: reception box or delivery box? , 2001 .

[37]  Shashank Rao,et al.  Electronic logistics service quality (e-LSQ): Its impact on the customer's purchase satisfaction and retention , 2011 .

[38]  Kenneth K. Boyer,et al.  THE LAST MILE CHALLENGE: EVALUATING THE EFFECTS OF CUSTOMER DENSITY AND DELIVERY WINDOW PATTERNS , 2009 .

[39]  E. Anderson,et al.  What drives the choice of a third party logistics provider , 2011 .

[40]  David B. Grant,et al.  Developing a framework for measuring physical distribution service quality of multi‐channel and “pure player” internet retailers , 2006 .

[41]  R. Thaler,et al.  THE BEHAVIORAL LIFE‐CYCLE HYPOTHESIS , 1988 .

[42]  Björn Lantz,et al.  Real e-customer behavioural responses to free delivery and free returns , 2013, Electron. Commer. Res..

[43]  Scott A. Fay,et al.  An Empirical Study of the Impact of Nonlinear Shipping and Handling Fees on Purchase Incidence and Expenditure Decisions , 2006 .

[44]  K. Hoberg,et al.  Customers’ valuation of time and convenience in e-fulfillment , 2019, International Journal of Physical Distribution & Logistics Management.

[45]  M. Christopher,et al.  Enabling supply chain segmentation through demand profiling , 2011 .

[46]  Carol C. Bienstock,et al.  Measuring Service Quality in E-Retailing , 2006 .

[47]  Jan Fabian Ehmke,et al.  Customer acceptance mechanisms for home deliveries in metropolitan areas , 2014, Eur. J. Oper. Res..

[48]  R. Ranyard,et al.  Mental Accounting and Economic Behaviour , 2017 .

[49]  Tung‐Zong Chang,et al.  A descriptive model of online shopping process: some empirical results , 2003 .

[50]  Cristian Chelariu,et al.  CUSTOMER SERVICE IN THE INTERNET-ENABLED LOGISTICS SUPPLY CHAIN: WEBSITE DESIGN ANTECEDENTS AND LOYALTY EFFECTS , 2005 .

[51]  Thompson S. H. Teo Demographic and motivation variables associated with Internet usage activities , 2001, Internet Res..

[52]  Richard H. Thaler,et al.  Mental Accounting and Consumer Choice , 1985, Mark. Sci..

[53]  Paul A. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003, Int. J. Electron. Commer..

[54]  Daniel M. Bartels,et al.  On the Mental Accounting of Restricted-Use Funds: How Gift Cards Change What People Purchase , 2015 .

[55]  Richard Pibernik,et al.  Paying for convenience: Attractiveness and revenue potential of time‐based delivery services , 2012 .

[56]  Markus Blut,et al.  E-Service Quality: Development of a Hierarchical Model , 2016 .

[57]  F. Sultan,et al.  Are the Drivers and Role of Online Trust the Same for All Web Sites and Consumers? A Large-Scale Exploratory Empirical Study , 2005 .

[58]  Thomas Gilovich,et al.  Gift Cards and Mental Accounting: Green‐lighting Hedonic Spending , 2014 .

[59]  J. Pfeffer,et al.  When time is money , 2007 .

[60]  Ko de Ruyter,et al.  E-tailers versus retailers: which factors determine consumer preferences , 2001 .

[61]  Rohit Verma,et al.  Issues in the use of ratings-based versus choice-based conjoint analysis in operations management research , 2009, Eur. J. Oper. Res..

[62]  Martin W. P. Savelsbergh,et al.  Time Slot Management in Attended Home Delivery , 2008, Transp. Sci..

[63]  D. Soman The mental accounting of sunk time costs: Why time is not like money. , 2001 .

[64]  D. Tranfield,et al.  Producing a systematic review. , 2009 .

[65]  Girish N. Punj Income effects on relative importance of two online purchase goals: Saving time versus saving money? , 2012 .

[66]  T. Girard,et al.  Relationship of Type of Product, Shopping Orientations, and Demographics with Preference for Shopping on the Internet , 2003 .

[67]  G. Stephen Taylor,et al.  Modelling choice in logistics: a managerial guide and application , 2012 .

[68]  Bernd H. Schmitt,et al.  Waiting time and decision making: is time like money? , 1995 .

[69]  R. Thaler Mental accounting matters , 1999 .

[70]  E. Rabinovich,et al.  Expanding Horizons and Deepening Understanding via the Use of Secondary Data Sources , 2011 .

[71]  Martin W. P. Savelsbergh,et al.  Challenges and Opportunities in Attended Home Delivery , 2008 .

[72]  Rolph E. Anderson,et al.  Multivariate Data Analysis (7th ed. , 2009 .

[73]  Romeo Danielis,et al.  Logistics managers’ stated preferences for freight service attributes , 2005 .

[74]  M. T. Hossain How Cognitive Style Influences the Mental Accounting System: Role of Analytic versus Holistic Thinking , 2018 .

[75]  Joydeep Srivastava,et al.  The effect of shipping fee structure on consumers’ online evaluations and choice , 2012 .

[76]  Dag Ericsson,et al.  Customer segmentation based on buying and returning behaviour , 2013 .

[77]  Ramakrishnan Ramanathan,et al.  An empirical analysis on the influence of risk on relationships between handling of product returns and customer loyalty in E-commerce , 2011 .

[78]  J. Reynolds,et al.  Understanding shoppers' expectations of online grocery retailing , 2006 .

[79]  Jing Chen,et al.  Implementing market segmentation using full-refund and no-refund customer returns policies in a dual-channel supply chain structure , 2012 .

[80]  R. Feinberg,et al.  The Impact of Electronic Commerce as a Mode of Product Purchase on Consumer Retail Shopping Alternatives , 2004 .

[81]  Varun Grover,et al.  An empirical study on Web-based services and customer loyalty , 2006, Eur. J. Inf. Syst..

[82]  John R. Hauser,et al.  Conjoint Analysis, Related Modeling, and Applications , 2004 .

[83]  S. Lennon,et al.  Consumer response to online apparel stockouts , 2011 .

[84]  T. Lippe Dutch workers and time pressure: household and workplace characteristics , 2007 .

[85]  Charles L. Munson,et al.  The impact of e-service offerings on the demand of online customers , 2017 .

[86]  Yong Cao,et al.  Internet Pricing, Price Satisfaction, and Customer Satisfaction , 2003, Int. J. Electron. Commer..

[87]  Mahmut Parlar,et al.  Online retailers' promotional pricing, free-shipping threshold, and inventory decisions: A simulation-based analysis , 2013, Eur. J. Oper. Res..

[88]  A. Monga,et al.  Time versus money. , 2019, Current opinion in psychology.

[89]  Edward M. Bergman,et al.  Modelling preferences and stability among transport alternatives , 2002 .

[90]  B. Orme Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research , 2005 .

[91]  Eric T. G. Wang,et al.  Understanding customers' repeat purchase intentions in B2C e‐commerce: the roles of utilitarian value, hedonic value and perceived risk , 2014, Inf. Syst. J..

[92]  Alexander H. Hübner,et al.  Last mile fulfilment and distribution in omni-channel grocery retailing: a strategic planning framework , 2016 .

[93]  Jong-Youn Rha,et al.  The mental accounting of time , 2009 .

[94]  R. Rowden Time is money. , 1988, Nursing times.

[95]  Katherine L. Milkman,et al.  Mental Accounting and Small Windfalls: Evidence from an Online Grocer , 2008 .

[96]  Mark Tausig,et al.  Unbinding Time: Alternate Work Schedules and Work-Life Balance , 2001 .