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The Insight Discipline: Crafting New Marketplace Understanding that Makes a Difference
Type: Book
ISBN: 978-1-83982-733-4

Abstract

Details

The Insight Discipline: Crafting New Marketplace Understanding that Makes a Difference
Type: Book
ISBN: 978-1-83982-733-4

Abstract

Details

The Insight Discipline: Crafting New Marketplace Understanding that Makes a Difference
Type: Book
ISBN: 978-1-83982-733-4

Book part
Publication date: 29 August 2005

David Chan

Multivariate latent growth modeling (multivariate LGM) provides a flexible data analytic framework for representing and assessing cross-domain (i.e., between-constructs…

Abstract

Multivariate latent growth modeling (multivariate LGM) provides a flexible data analytic framework for representing and assessing cross-domain (i.e., between-constructs) relationships in intraindividual changes over time, which also allows incorporation of multiple levels of analysis. Using the chapter by Cortina, Pant, and Smith-Darden (this volume) as a point of departure, this chapter discusses important preliminary data analysis and interpretation issues prior to performing multivariate LGM analyses.

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Multi-Level Issues in Strategy and Methods
Type: Book
ISBN: 978-1-84950-330-3

Book part
Publication date: 1 January 2008

Laura Francis-Gladney, Robert B. Welker and Nace Magner

Budget decision-makers are forced at times to assign budgets that deviate substantially from budget participants’ requests. In these instances, budget participants likely…

Abstract

Budget decision-makers are forced at times to assign budgets that deviate substantially from budget participants’ requests. In these instances, budget participants likely interpret their budgetary involvement as lacking influence and perhaps as pseudo-participative. This experimental study examined two situational factors that may affect perceptions of pseudo-participation: budget favorability (receiving a much better or much worse budget than requested) and disclosure of budget intention (the decision-maker discloses or does not disclose a preliminary budget before the budget decision, with the final budget exactly matching the preliminary budget). As hypothesized, budget participants had a self-serving tendency to discount pseudo-participation as the cause of low influence when they received a favorable budget. However, contrary to a hypothesized effect, budget participants did not have a self-serving tendency to inflate pseudo-participation as the cause of low influence when they received an unfavorable budget. Instead, they formed strong, unbiased pseudo-participation perceptions. Also contrary to a hypothesized effect, the budget decision-maker's disclosure of an intended budget, which should have provided clear indications of an insincere request for budget input, did not increase perceptions of pseudo-participation. Budget outcomes that indicate low influence may evoke such strong perceptions of pseudo-participation as to override other information that suggests pseudo-participation.

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Advances in Management Accounting
Type: Book
ISBN: 978-1-84855-267-8

Abstract

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Preliminary Feasibility for Public Research and Development Projects
Type: Book
ISBN: 978-1-80117-267-7

Abstract

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Preliminary Feasibility for Public Research and Development Projects
Type: Book
ISBN: 978-1-80117-267-7

Book part
Publication date: 29 January 2013

Julián Arellana, Juan de Dios Ortúzar and Luis Ignacio Rizzi

Purpose – Departure time choice not only depends on the desire to carry out activities at certain times and places; it is a complex decision making process influenced by travel…

Abstract

Purpose – Departure time choice not only depends on the desire to carry out activities at certain times and places; it is a complex decision making process influenced by travel conditions, congestion levels, activity schedules, and external trip factors. To estimate departure time choice models capturing the factors influencing it in appropriate form, a complex data collection procedure allowing to obtain detailed input data from different sources and at different time periods is required.

The main aim of this chapter is to describe and discuss the survey methodology we used in a time-of-day choice project, involving the collection of revealed preference (RP) and stated preference (SP) data to estimate hybrid discrete departure time choice models incorporating latent variables. Preliminary model results are also presented as an example.

Methodology/approach – Data was obtained from 405 workers at different private and public institutions located in the centre of Santiago, Chile. The survey process had three different stages and used various collection methods (e-mail, web-page, and personal interviews at the workplace) in order to satisfy efficiency, reliability and cost criteria.

The RP component survey design was based on the last origin-destination survey implemented in Santiago (i.e. a travel diary filled under an activity recall framework). Relevant level-of-service measures at different time periods were obtained from GPS data measured from instrumented vehicles in the public and private transport networks. A SP-off-RP optimal design considering dependence among attribute levels was also developed. Finally, several 1–7 Likert scale questions were included to incorporate the latent variables.

Findings – The survey methodology described in this chapter represents a successful experience in terms of collecting high quality data, from different sources, with the aim of estimating appropriate time-of-day choice models. The data collection process was carried out in different stages, by means of web pages, email, and personal interviews. The data was further enriched with level-of-service attributes measured at different times of the day with unusual precision. Preliminary results reported in this chapter show that data obtained through this methodology are appropriate to model time-of-day choices.

Originality/value of chapter – The novelty of the survey methodology described in this chapter is the collection of data of a different nature for time-of-day choice modelling through the integration of different collection techniques.

Acquisition of very precise information about preferred departure/arrival times, level of service at different times of the day, detailed information about flexibility in schedules, employment information and attitudes towards departure times, should allow practitioners to estimate hybrid time-of-day choice models incorporating latent variables.

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Transport Survey Methods
Type: Book
ISBN: 978-1-78-190288-2

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Abstract

Details

The Insight Discipline: Crafting New Marketplace Understanding that Makes a Difference
Type: Book
ISBN: 978-1-83982-733-4

Abstract

Details

The Insight Discipline: Crafting New Marketplace Understanding that Makes a Difference
Type: Book
ISBN: 978-1-83982-733-4

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