Search results

The purpose of this paper is to examine the influence of the order in which a set of cities are visited to ascertain the effects of position on group tourists’ recall and evaluations.

Using a questionnaire, the views of highly experienced tour guides were analysed to provide preliminary insights about the likely occurrence of position effects. The topic was studied in Iran where a natural variation in the order of visiting cities on guided tours exists.

Credible and consistent evidence was found for the perceived effects of recency when considering tourists’ recall and evaluations. In particular, the influence was seen as clearly enhancing the recall and positive evaluation for the most high profile cities in the set of visited locations.

Replications of the position effect in other countries and for other kinds of tourism cities needs to be pursued, desirably by direct assessments of tourist’ views to buttress the present views held by guides.

Designing itineraries by making imaginative use of the effects of order on the tourists’ sequence of city visits should facilitate the memorability of destinations for tourists and benefit businesses.

Empirical evidence about order effects in multi-city tour itineraries has never been established. The study provides foundation evidence for such influences through a non-reactive and naturalistic assessment by tour guides who are in contact with varied itineraries and who regularly consider the experiences of diverse and large numbers of tourists.

To provide an in‐depth analysis of the potential effects of variations in institutional building projects, which would be helpful for building professionals in assessing and taking proactive measures for reducing the adverse impact of variations.

To achieve the study objectives, a questionnaire survey was carried out to collect information on potential effects of variations. Responses from 28 professionals working for a developer organization (a government agency) were analyzed. Furthermore, 26 face‐to‐face interviews using the questionnaires were also analyzed.

The results suggest that the most frequent effects of variations were increase in project costs, additional payments for contractor, progress affected but without any delay, completion schedule delay, increase in overhead expenses and rework and demolition. Recommendations were suggested based on the findings of the research and literature review.

This paper presented only the developers' view of the effects of variation orders on institutional building projects in Singapore. Further works can be extended to survey the consultants and the contractors who have carried out these projects.

The study will benefit the professionals involved with institutional building projects. The professionals would learn about the downstream effects that may assist in the valuable evaluation of variation orders.

This is a timely study as the program of rebuilding and improving existing institutional buildings is currently underway in Singapore. A clearer view of the effects of variations on the projects will enable the project team to take advantage of beneficial variations. Furthermore, the findings can be used by future researchers to carry out studies on the management of variation orders in various other types of projects.

The belief-adjustment model has been an integral part of accounting research in belief revision, especially in the examination of order effects. Hogarth and Einhorn ((1992) Cognitive Psychology, 24, 1–55) created the belief-adjustment model to serve as a theoretical framework for studying individuals’ decision-making processes. The model examines several aspects of decision-making, such as encoding, response mode, and task factors. The purpose of this chapter is to provide a comprehensive examination of the accounting studies that have used the theoretical framework of the belief-adjustment model in auditing, tax, and financial accounting contexts. Roberts’ ((1998) Journal of the American Taxation Association, 20, 78–121) model of tax accountants’ decision-making is used as a guideline to organize the research into categories. By using Roberts’ categorization, we can better sort out the mixed results of some prior studies and also expand the review to include a more comprehensive look at the model and its application to accounting. While many variables have been examined with respect to their effect on accounting professionals’ belief revisions, most studies examine them in isolation and do not consider the interaction effects that these variables may have. Our framework also identifies areas of the belief-adjustment model that need further research.

Construction process is complex and traditionally fragmented; thus, it is almost impossible to have a project completed without changes to the original plan or the construction process. The purpose of this study is to identify and examine the causes of variation orders, ascertain their effects and establish the cost and time performance implication as a result of variation orders.

This study obtained information from 90 construction stakeholders on 30 completed educational building projects to ascertain the causes and effects of variation orders on project delivery using questionnaire survey. In addition to this, a pro forma document was designed to obtain the project characteristics, cost and time data from these 30 completed educational building projects. Factor analysis was used to categorise the causes of variation orders, while severity index was used to examine their effects on project delivery. The hypothesised statement was tested using paired t-statistics to examine whether a statistically significant difference existed between variation orders, cost and time performance of the projects.

The study identified 13 main factors as causes of variation orders and the results revealed that the most frequent effects of variations were increase in construction costs, time, client dissatisfaction, increase construction project rework and demolition and project abandonment. The results also showed that variation orders had significant effects on both cost and scheduled performance of the educational building projects with average cost and time escalation of 33.95 and 29.45 per cent of the original project cost and time, respectively, for the entire projects studied, while average cost implication of variation orders is 23.79 per cent.

The findings in this study will be of assistance to government agencies and management of public works in higher institutions of learning in managing variations in construction projects. The study will also add to the current literature on the impact of variation orders on educational building projects in developing countries. Finally, it will create the much-needed awareness on the severity and implication of change or variation orders on project delivery.

The study identified and examined the causes of variation orders, ascertained their effects and established the cost and time effects of the causes of variation order on project performance. This will assist project initiators, contractors, consultants and other stakeholders to fully appreciate and understand the significant effects of variation orders on project performance.

This study aims to investigate how image-presentation-order influences mental imagery (MI) processing and purchase intentions. This study also examines the moderating effect of a series of images on the relationship between image-presentation-order and MI processing.

This research conducted two studies using an experimental approach.

Two studies showed that MI processing was higher, when an apparel product image worn by a model with a background was shown after rather than before a simple product image (SPI), indicating the recency effect. In contrast, examining a series of images, consumers were more engaged in MI processing, when product image(s) worn by a model with a background were presented first, followed by the four SPIs, than the reversed order (primacy effect). The level of MI in two studies subsequently increased purchase intentions.

Results of this study have the potential to provide guidance to online retailers for how to best order their product images on a website to help consumers form elaborated MI about the product and thus increase purchasing intentions.

Although past research has examined presentation-order effect using textual information, very limited studies have explored presentation-order effect of pictorial information. To the best of the authors’ knowledge, this research is in the forefront of investigations about the joint effect of image-presentation-order and the number of images on individuals’ perceptions.

The impact of workplace violence on occupational stress and well being is garnering increasing attention. Despite the fact that workplace violence has been identified as a critical organizational safety and health issue, there has been limited scholarly focus on the problem of domestic or intimate partner violence in the workplace. This paper examines intimate partner violence from both ecological and work family spillover modes of theorizing. Within this framework, we propose that the effects of intimate partner violence are reciprocal and spillover into the workplace, impacting employee and organizational well being. We conclude by discussing the implications of the integrated framework and by offering suggestions for future research in this area.

Previous research shows that question order affects responses, but does not indicate which order is more accurate. This study aims to examine the effect of three question orders on measurements of SERVQUAL and global quality in an effort to determine which order produced the most predictive measures.

Three forms of a survey were randomly distributed to users of different services; banking, dental services, and hair salons. Correlation with intention of future interaction was used to identify the order that resulted in the most predictive quality measure.

The paper finds that correlations with intention of future interaction were highest for SERVQUAL in the global‐SERVQUAL order, but highest for the global quality measure in the random order.

This study indicates that practitioners and academicians should order questionnaire items differently depending on how the results will be used and which type of measure, specific or global service quality, is the focus of a questionnaire. Generalizations are limited to SERVQUAL and multiple item measures of service quality.

The findings indicate which of several question orders can be used to generate the most predictive measures of SERVQUAL and global service quality.

Previous research has examined measurement effects of specific‐general question orders, without indicating which order is most predictive. This study includes a random order and also suggests appropriate item order for predictive measures.

This study seeks to determine the effects of stay-at-home orders in Spring 2020 on COVID-19 cases and deaths in the Central USA by comparing counties and health service areas that were and that were not subject to statewide orders.

This study estimates the effects of statewide stay-at-home orders on new COVID-19 cases and deaths within 19 central states, of which 14 had stay-at-home orders. It uses synthetic control analysis and nearest neighbor matching to estimate the effects at two geographic levels: counties and health service areas.

Statewide stay-at-home orders significantly reduced the number of new COVID-19 cases in the Central USA starting about three weeks after their effective dates; during the fourth week after their effective dates, the orders reduced the number of new cases per capita by 31%–57%. Statewide stay-at-home orders did not reduce the number of new COVID-19 deaths in the Central USA.

The main purpose of stay-at-home orders in Spring 2020 was to “flatten the curve” so that hospitalizations would not exceed capacity. It is likely that stay-at-home orders in the Central USA reduced hospitalizations to some extent, although the effect on hospitalizations was likely smaller than the effect on cases.

This is the first study of stay-at-home orders in the USA to limit the population to a group of interior states. All coastal states had statewide stay-at-home orders and comparing coastal states with orders to interior states without them may be problematic.

Nonfinancial information is becoming more readily available to investors, and thus, relative to annual financial reports, is having an increasing influence on investors' stock pricing decisions. Using Hogarth and Einhorn's (1992) belief-adjustment model, we examine how task familiarity (high, medium, and low) influences nonprofessional investor stock price decisions when these investors are presented with a stream of both positive and negative nonfinancial news. We find that task familiarity negatively correlates with reaction size for both positive and negative information, which creates arbitrage opportunities for those with more task familiarity. However, we find that assurance mitigates this effect, leveling the playing field for less task-familiar investors in most cases. These findings are important as the volume and variety of information types increase, and as more nonfinancial information enters the marketplace in discrete sound bites (e.g., social media, press releases, daily reports). Findings suggest that assurance is one way to lessen the biases exhibited by investors with less task familiarity. These results enhance our understanding of nonprofessional investor behavior through the lens of belief revision.

The cognitive composition process of attribute information plays a critical role in heuristic aspects of consumers’ multiattribute preferential decisions. This study examines the effects of attribute information order and attribute information amount on consumers’ multiattribute preferential decisions under the premise of consumers’ limited information processing capacity. An experiment with two separate designs is conducted for testing the different hypotheses. The results support the hypothesis that consumers’ multiattribute preferential decisions are influenced by the amount of attribute information received/processed. The attribute information order is found to affect not only the outcomes of consumer decisions but also the amount of attribute information processed. These findings further suggest that consumers may be more inclined to adopt strategies of a noncompensatory heuristic nature when making multiattribute preferential decisions.