Towards a resilience management framework for complex enterprise systems upgrade implementation

The lack of knowledge of how resilience management supports enterprise system (ES) projects accounts for the failure of firms to leverage their investments in costly ES implementations. Using a structured-pragmatic-situational (SPS) case study research approach, this paper reports on an investigation into the resilience management of a large utility company as it implemented an ES upgrade. Drawing on the literature and on the case study findings, we developed a process-based resilience management framework that involves three strategies (developing situation awareness, demystifying threats, and executing restoration plans) and four organisational capabilities that transform resilience management concepts into practices. We identified the crucial phases of ES upgrade implementation and developed indicators for how different strategies and capabilities of resilience management can assist managers at different stages of an ES upgrade. This research advances the state of existing knowledge by providing specific and verifiable propositions for attaining a state of resilience, the knowledge being grounded in the empirical reality of a case study. Moreover, the framework offers ES practitioners a roadmap to better identify appropriate responses and levels of preparedness.     

Valuation of ecosystem services provided by irrigated rice agriculture in Thailand: a choice experiment considering attribute nonattendance

This research investigates how the public of a middle‐income country, Thailand, values ecosystem services associated with irrigated rice agriculture using a choice experiment. The results show a significant willingness to pay for services such as drought mitigation, water quality and the environment and maintenance of rural lifestyles and rice landscapes. The iterative procedure developed to fully analyze the incidence of attribute nonattendance (ANA) improved the model fit when compared with a multinomial logit model or an ANA model with potentially only one attribute ignored at a time (ANA‐1). Moreover, the inferred probability of the class of respondents having attended all attributes was 45%, compared to 9% with ANA‐1 model. However, it also suggests that 55% of the respondents made their choices by considering only two of the five attributes. Finally, this research also suggests that failing to consider ANA does not change the public ranking of scenarios contrasted by the services they would provide but would overestimate the WTP for these scenarios.     

Consumer experiences,attitude and behavioral intention toward online food delivery (OFD) services

Prior research has mostly examined consumer attitudes toward online services/retailing in general and a few researchers have addressed consumer experiences with online food delivery (OFD) services. The purpose of this study is to examine the structural relationship between convenience motivation, post-usage usefulness, hedonic motivation, price saving orientation, time saving orientation, prior online purchase experience, consumer attitude and behavioral intention towards OFD services. The study proposes an integrative theoretical research model based on the Contingency Framework and Extended Model of IT Continuance. 224 valid questionnaires were collected to empirically test the research model using the partial least square (PLS) path modeling approach. The results imply that the proposed hypotheses were supported, except for the relationship between prior online purchase experience and post-usage usefulness. Practical implications and limitations are discussed.     

Sustainable tourism development and residents’ perceptions in World Heritage Site destinations

Set in Malaysia’s Lenggong Valley World Heritage Site (WHS), this paper uses stakeholder theory to explore the heterogeneity of positive and negative perceptions among residents and their effects on residents’ support for and participation in sustainable tourism development. Data from 221 completed questionnaire surveys revealed heterogeneous negative perceptions across residents’ age, level of education and economic involvement in tourism. Moreover, residents’ positive perceptions had a positive effect on their support for and participation in tourism development. This study contributes to the resident perception literature by using stakeholder theory to conceptualise the heterogeneity of residents’ perceptions and by examining the effects of those perceptions on their support for and participation in tourism development in a rural WHS destination in the developing world. Furthermore, the findings of this study have practical implications for local authorities aiming to improve residents’ support and participation in tourism planning for sustaining tourism development.     

On estimating long-run effects in models with lagged dependent variables

A common procedure in economics is to estimate long-run effects from models with lagged dependent variables. For example, macro panel studies frequently are concerned with estimating the long-run impacts of fiscal policy, international aid, or foreign investment.Our analysis points out the hazards of this practice. We use Monte Carlo experiments to demonstrate that estimating long-run impacts from dynamic models produces unreliable results.Biases can be substantial, sample ranges very wide, and hypothesis tests can be rendered useless in realistic data environments. There are three reasons for this poor performance. First, OLS estimates of the coefficient of a lagged dependent variable are downwardly biased in finite samples. Second, small biases in the estimate of the lagged, dependent variable coefficient are magnified in the calculation of long-run effects. And third, and perhaps most importantly, the statistical distribution associated with estimates of the LRP is complicated, heavy-tailed, and difficult to use for hypothesis testing. While many of the underlying problems have been long-known in the literature, the continued widespread use of the associated empirical procedures suggests that researchers are unaware of the extent and severity of the estimation problems. This study aims to illustrate their practical importance for applied research.     

A decision method for supplier selection in multi-service outsourcing

Although supplier selection in multi-service outsourcing is a very important decision problem, research concerning this issue is still relatively scarce. This paper proposes a decision method for selecting a pool of suppliers for the provision of different service process/product elements. It pioneers the use of collaborative utility between partner firms for supplier selection. A multi-objective model is built to select desired suppliers. This model is proved to be NP-hard, so we develop a multi-objective algorithm based on Tabu search for solving it. We then use an example to show the applicability of the proposed model and algorithm. Extensive computational experiments are also conducted to further test the performance of the proposed algorithm.     

Lumpy Investment and Corporate Tax Policy

In the presence of both convex and nonconvex capital adjustment costs in a dynamic general equilibrium model, corporate tax policy generates both intensive and extensive margin effects via the channel of marginal Q. Its impact is determined largely by the strength of the extensive margin effect, which, in turn, depends on the cross‐sectional distribution of firms. Depending on the initial distribution of firms, the economy displays asymmetric responses to tax changes. Moreover, an anticipated increase in the future investment tax credit reduces investment and adjustment rate initially.     

Analysing the provision of agricultural public goods: The case of irrigated olive groves in Southern Spain

Analysis of the joint production of private and public goods (PGs) by farming activities is a fertile research field. These joint production processes are typically characterised by a high level of complexity derived from the intense relationship between the production of both kinds of outputs. An integrated approach is strongly recommended for the study of the provision of agricultural PGs and the design of public intervention in this sector. Here, we propose a theoretical framework to apply an integrated approach using the analytic network process (ANP) to analyse the production of PGs by agricultural systems to support public decision-making concerning the design and implementation of agricultural policies. We introduce a novel approach in applying ANP along both directions of the influences among elements, allowing us to identify the most influenced PGs and the farmers’ most influential decisions. This methodological approach is empirically applied to a particular farming system: the irrigated olive groves (IOG) of Southern Spain. Results show that the PGs most influenced by olive growers’ decisions are soil fertility, the visual quality of agricultural landscapes and farmland biodiversity. In addition, the most influential factors affecting the provision of PGs are the structural ones, namely farm size and tree density, and, to a lesser extent, management factors dealing with fertilisation, soil and irrigation management. These results are useful for supporting agricultural policy decision-making to enhance adequate management of this farming system regarding PGs production.     

Major Psychological Factors Affecting Acceptance of New Breeding Techniques for Crops

New plant biotechnologies called new breeding techniques (NBT), which will follow the present genetically modified (GM) technology, have appeared and are attracting attention worldwide. The first purpose of this study was to show consumer attitudes toward traditional plant breeding, GM, and NBT crops. The second purpose was to verify the validity of a psychological model determining the acceptance of NBT crops. A survey was conducted in Japan with 657 randomly selected adult participants. The results showed that perceived risk, perceived benefit, trust, sense of bioethics, anxiety, and anger play an important role in the personal and public acceptance of NBT and indicated that trust and anxiety are especially important factors in both situations.     

Health and cosmetics: Investigating consumers’ values for buying organic personal care products

In investigating consumers’ intentions to re-purchase organic personal care products (PCP), this study extends the theory of planned behaviour by including perceived value dimensions as the antecedents of attitude in the model. The findings revealed that most of the hypothesised relationships linking the consumer perceived value constructs (namely, health, safety, hedonic and environmental) with attitude towards the rebuying of organic PCP, were supported. Also, better product knowledge about organic PCP would lead to more positive attitudes towards re-purchasing the product. In contrast, social value was not important in predicting attitude. Similarly, the influence of subjective norm on rebuying intention was not supported. In terms of ranking of importance with regards to prediction of re-purchasing intention, attitude was the most important predictor followed by perceived behavioural control, product knowledge, hedonic value, environmental value and safety value.