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.     

IPD军工科研企业研发体系建设研究

在激烈的市场竞争下，军工科研企业面临如何有效地降低研发成本、提高研发效率、提升研发质量，从而实现规模化、产业化发展等问题。集成产品研发（Integrated Product Development, IPD）由IBM首先成功实践，可以帮助企业快速、低成本、准确地开发出满足市场的产品，快速从以项目为核心、解决产品有无问题的阶段，向以平台和共享为核心的产业化发展阶段跨越。从军工企业科研面临的问题，研究了IPD军工科研企业如何借鉴IPD思想，本地化建立符合军工业务特点的研发体系，提出了基于IPD的研发体系建设目标、建设内容和实施步骤。     

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.     

Policy‐related implementational fluidity in subsistence marketplaces

This paper sheds light on policy‐related implementational fluidity—a context‐dependent adaptation of policies—adopted by policy implementers to address heterogeneous needs of subsistence consumer‐merchants (SCMs). In subsistence research, despite the emphasis on bottom‐up policymaking, implementational fluidity persists because of institutional and sociocultural factors that hinder policy implementers’ from effectively and accurately implementing the policies. To enrich the current bottom‐up policy process, this paper shares insights from an ethnographic study of Fijian market traders and marketplace personnel (policy implementers) and shares insights on how implementational fluidity manifests in subsistence marketplaces. Analysis reveals the interplay amongst sociohistorical context, marketplace relational dynamics and policies leading to policy adjustments and re‐negotiation by marketplace personnel and perceived injustices amongst the SCMs. The paper provides policy recommendations and practice ideas for subsistence researchers and policy practitioners to examine policy implementation gaps and the role of policy implementers in subsistence marketplaces.     

学者型CEO更加自律吗?——学术经历对高管在职消费的影响

本文选取2010—2016年中国沪深A股上市公司样本,实证检验CEO学术经历对高管在职消费行为的影响。研究发现,学术经历有助于CEO强化道德自觉、增强道德自律,形成内在的自我约束与监督机制,进而抑制了其所在企业的高管在职消费活动。当CEO拥有高层次学术经历或来自内部晋升时,CEO学术经历对高管在职消费的抑制效应更为显著。该结论在采用双重差分模型、Heckman两阶段模型控制潜在的内生性问题及其他稳健性检验之后仍然成立。进一步研究表明,在自由现金流较多、董事会规模较大或独立性较低、外部审计监督较弱以及产品市场竞争程度较低等公司内外部治理环境较差的情景下,学者型CEO的自律品质所能发挥的治理作用更大,对高管在职消费的抑制效应也更为明显。此外,在党的十八大之后,随着“八项规定”等多项高压反腐政策的出台,政策效应在国有企业高管在职消费的治理中发挥着主导性作用,CEO学术经历对国有企业高管在职消费的抑制效应有所下降。本文为高管学术经历的治理效应假说提供了证据支持,对于上市公司规范和治理高管在职消费行为、选聘合适的高管人才具有重要的借鉴意义。     

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.