• 마케팅과학연구
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• 제20권2호
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• pp.188-198
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• 2010

此研究旨在考察负口碑(即NWOM)对在线行销的影响, 着重分析服务失败的描述以及通信服务商的意向是如何影响消费者对企业竞争力的评估, 对企业的态度, 以及积极的口碑行销和行为意向. 对通信说服力的研究着重于 "谁说了什么; 对谁;通过何渠道;有何影响(Chiu 2007)". 在此我们研究了电子网络发布, 尤其是 "什么" 的两个方面: 通信服务失败的等级以及个人发布的知觉意向. 电子负口碑看似正在毁掉产品或企业的声誉, 这也就不难理解为什么人们总对它带有偏见, 认为其不可靠. 根据归因理论, 人们总会寻求事件的原因, 尤其是那些消极的意外的事件(Weiner 2006). Hennig-Thurau和Walsh (2003)提出 "既然读者的知识和对在线信息的作者信任度都很有限, 可以把电子口碑当做是表达-行为关系的有效调节. 此据此我们提出以下假设: 假设1. 在衡量(a)企业竞争力, (b)人们对企业的态度, (c)积极的口碑, 以及(d)行为意向时, 面临高等级服务失败电子负口碑的对象得分低于面临低等级服务失败电子负口碑的对象. 假设2. 在衡量(a)企业竞争力, (b)人们对企业的态度, (c)积极的口碑, 以及(d)行为意向时, 面临警告意向电子负口碑的对象得分低于面临报复意向电子负口碑的对象假设3. 在电子负口碑中, 服务失败的等级和知觉意向互相影响, 因此在衡量(a)企业竞争力, (b)人们对企业的态度, (c)积极的口碑, 以及(d)行为意向时, 警告意向的电子负口碑的平均反应值大于报复意向的电子负口碑. 主要研究包括一个2 (服务失败的严重性) x 2(警告意向VS报复意向的负口碑)的析因实验. 将通过模拟的在线网络发布信息刺激在线对象. 这一方案描述的服务失败是在传统的零售机构不接受礼物卡, 通过一家在线的研究公司从全国抽样. 共有113个对象参与此研究, 共分析了104份调查问卷. 研究对象认为该方案很现实, 92.3%对此反应强烈. 方案的运作相当令人满意, 所有的措施都经预先的测试验证, 各个项目也经分析证实可靠并有效. 多变量方差分析结果显示多变量间无明显的互相影响, 因此我们只研究主要影响-后倾向和服务失败的严重性. 后倾向主要影响对企业的态度, 积极的口碑和行为意向. 服务失败的严重性主要影响4个因变量: 企业的竞争力, 对企业的态度, 积极的口碑和行为意向. 需特别指出的是, 当电子负口碑描述为严重的服务失败时, 企业的竞争力低于电子负口碑描述为较轻的服务失败时. 当电子负口碑描述为严重的服务失败时, 对企业的态度差于电子负口碑描述为较轻的服务失败时. 当电子负口碑描述为严重的服务失败时, 企业的口碑差于电子负口碑描述为较轻的服务失败时. 当电子负口碑描述为严重的服务失败时, 行为意向低于电子负口碑描述为较轻的服务失败时. 因此, 假设1中的abcd都得到了支持. 另外, 衡量对企业的态度时, 警告意向的电子负口碑得分低于报复意向的电子负口碑. 衡量企业的口碑时, 警告意向的电子负口碑得分低于报复意向的电子负口碑. 衡量行为意向时, 警告意向的电子负口碑得分低于报复意向的电子负口碑. 因此与假设2中的a项不符, 尽管结果指向的是假设方向. 除此之外, 在假设的三个变量中, 后倾向对服务失败的严重性无明显的多变量或单变量影响. 因此, 假设3被推翻. 此研究有研究和管理的双重蕴涵, 如之前的研究一样, 此研究结果证实了服务失败的严重性影响消费者知觉, 态度, 积极的口碑以及行为意向(Weun et al. 2004). 关于进一步的相关性, 在线内容证实了该反应, 这意味着企业需要努力进行服务补救. 至于电子负口碑的知觉意向, 如之前的研究一样, 此研究结果意味着读者对原始资料的意向影响其对知觉, 态度, 积极口碑和行为意向的作用大小. 对管理者的蕴涵在于, 当消费者发现在线交流可靠且有影响力时, 不是所有的交流都同等重要. 电子口碑的好处在于它可以监测潜在的问题并提供纠正的可能性, 即使有潜在的危害.

• Asia pacific journal of information systems
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• 제20권3호
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• pp.139-166
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• 2010

The supply chain management (SCM) systems have emerged as strong managerial tools for manufacturing firms in enhancing competitive strength. Despite of large investments in the SCM systems, many companies are not fully realizing the promised benefits from the systems. A review of literature on adoption, implementation and success factor of IOS (inter-organization systems), EDI (electronic data interchange) systems, shows that this issue has been examined from multiple theoretic perspectives. And many researchers have attempted to identify the factors which influence the success of system implementation. However, the existing studies have two drawbacks in revealing the determinants of systems implementation success. First, previous researches raise questions as to the appropriateness of research subjects selected. Most SCM systems are operating in the form of private industrial networks, where the participants of the systems consist of two distinct groups: focus companies and vendors. The focus companies are the primary actors in developing and operating the systems, while vendors are passive participants which are connected to the system in order to supply raw materials and parts to the focus companies. Under the circumstance, there are three ways in selecting the research subjects; focus companies only, vendors only, or two parties grouped together. It is hard to find researches that use the focus companies exclusively as the subjects probably due to the insufficient sample size for statistic analysis. Most researches have been conducted using the data collected from both groups. We argue that the SCM success factors cannot be correctly indentified in this case. The focus companies and the vendors are in different positions in many areas regarding the system implementation: firm size, managerial resources, bargaining power, organizational maturity, and etc. There are no obvious reasons to believe that the success factors of the two groups are identical. Grouping the two groups also raises questions on measuring the system success. The benefits from utilizing the systems may not be commonly distributed to the two groups. One group's benefits might be realized at the expenses of the other group considering the situation where vendors participating in SCM systems are under continuous pressures from the focus companies with respect to prices, quality, and delivery time. Therefore, by combining the system outcomes of both groups we cannot measure the system benefits obtained by each group correctly. Second, the measures of system success adopted in the previous researches have shortcoming in measuring the SCM success. User satisfaction, system utilization, and user attitudes toward the systems are most commonly used success measures in the existing studies. These measures have been developed as proxy variables in the studies of decision support systems (DSS) where the contribution of the systems to the organization performance is very difficult to measure. Unlike the DSS, the SCM systems have more specific goals, such as cost saving, inventory reduction, quality improvement, rapid time, and higher customer service. We maintain that more specific measures can be developed instead of proxy variables in order to measure the system benefits correctly. The purpose of this study is to find the determinants of SCM systems success in the perspective of vendor companies. In developing the research model, we have focused on selecting the success factors appropriate for the vendors through reviewing past researches and on developing more accurate success measures. The variables can be classified into following: technological, organizational, and environmental factors on the basis of TOE (Technology-Organization-Environment) framework. The model consists of three independent variables (competition intensity, top management support, and information system maturity), one mediating variable (collaboration), one moderating variable (government support), and a dependent variable (system success). The systems success measures have been developed to reflect the operational benefits of the SCM systems; improvement in planning and analysis capabilities, faster throughput, cost reduction, task integration, and improved product and customer service. The model has been validated using the survey data collected from 122 vendors participating in the SCM systems in Korea. To test for mediation, one should estimate the hierarchical regression analysis on the collaboration. And moderating effect analysis should estimate the moderated multiple regression, examines the effect of the government support. The result shows that information system maturity and top management support are the most important determinants of SCM system success. Supply chain technologies that standardize data formats and enhance information sharing may be adopted by supply chain leader organization because of the influence of focal company in the private industrial networks in order to streamline transactions and improve inter-organization communication. Specially, the need to develop and sustain an information system maturity will provide the focus and purpose to successfully overcome information system obstacles and resistance to innovation diffusion within the supply chain network organization. The support of top management will help focus efforts toward the realization of inter-organizational benefits and lend credibility to functional managers responsible for its implementation. The active involvement, vision, and direction of high level executives provide the impetus needed to sustain the implementation of SCM. The quality of collaboration relationships also is positively related to outcome variable. Collaboration variable is found to have a mediation effect between on influencing factors and implementation success. Higher levels of inter-organizational collaboration behaviors such as shared planning and flexibility in coordinating activities were found to be strongly linked to the vendors trust in the supply chain network. Government support moderates the effect of the IS maturity, competitive intensity, top management support on collaboration and implementation success of SCM. In general, the vendor companies face substantially greater risks in SCM implementation than the larger companies do because of severe constraints on financial and human resources and limited education on SCM systems. Besides resources, Vendors generally lack computer experience and do not have sufficient internal SCM expertise. For these reasons, government supports may establish requirements for firms doing business with the government or provide incentives to adopt, implementation SCM or practices. Government support provides significant improvements in implementation success of SCM when IS maturity, competitive intensity, top management support and collaboration are low. The environmental characteristic of competition intensity has no direct effect on vendor perspective of SCM system success. But, vendors facing above average competition intensity will have a greater need for changing technology. This suggests that companies trying to implement SCM systems should set up compatible supply chain networks and a high-quality collaboration relationship for implementation and performance.

• 경영정보학연구
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• 제16권3호
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• pp.161-177
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• 2014

기업신용등급은 금융시장의 신뢰를 구축하고 거래를 활성화하는데 있어 매우 중요한 요소로서, 오래 전부터 학계에서는 보다 정확한 기업신용등급 예측을 가능케 하는 다양한 모형들을 연구해 왔다. 구체적으로 다중판별분석(Multiple Discriminant Analysis, MDA)이나 다항 로지스틱 회귀분석(multinomial logistic regression analysis, MLOGIT)과 같은 통계기법을 비롯해, 인공신경망(Artificial Neural Networks, ANN), 사례기반추론(Case-based Reasoning, CBR), 그리고 다분류 문제해결을 위해 확장된 다분류 Support Vector Machines(Multiclass SVM)에 이르기까지 다양한 기법들이 학자들에 의해 적용되었는데, 최근의 연구결과들에 따르면 이 중에서도 다분류 SVM이 가장 우수한 예측성과를 보이고 있는 것으로 보고되고 있다. 본 연구에서는 이러한 다분류 SVM의 성능을 한 단계 더 개선하기 위한 대안으로 유전자 알고리즘(GA, Genetic Algorithm)을 활용한 최적화 모형을 제안한다. 구체적으로 본 연구의 제안모형은 유전자 알고리즘을 활용해 다분류 SVM에 적용되어야 할 최적의 커널 함수 파라미터값들과 최적의 입력변수 집합(feature subset)을 탐색하도록 설계되었다. 실제 데이터셋을 활용해 제안모형을 적용해 본 결과, MDA나 MLOGIT, CBR, ANN과 같은 기존 인공지능/데이터마이닝 기법들은 물론 지금까지 가장 우수한 예측성과를 보이는 것으로 알려져 있던 전통적인 다분류 SVM 보다도 제안모형이 더 우수한 예측성과를 보임을 확인할 수 있었다.

• 한국유통학회지:유통연구
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• 제15권3호
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• pp.71-110
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• 2010

본 연구에서는 항공권 예약 발권 웹사이트의 서비스 품질을 측정 뿐만 아니라 서비스 회복도 측정하고자 하였다. 또한 서비스 품질과 서비스 회복이 고객만족 및 충성의도에 미치는 영향관계를 실증하고자 하였다. 온라인 서비스 품질과 온라인 서비스 회복의 측정을 위해 Parasuraman, Zeithaml, & Malhotra(2005)가 개발한 E-S-QUAL과 E-RecS-QUAL을 사용했으며, 했다. E-S-QUAL은 온라인 서비스 품질을 측정하는 도구로써, 효율성, 시스템 이용가능성, 이행성, 프라이버시의 4개 차원 22개 항목으로 구성된다. E-RecS-QUAL은 온라인 서비스 회복을 측정하는 도구로써, 반응, 보상, 접촉의 3개 차원 11개 항목으로 구성된다. 실증분석을 위한 설문조사는 항공사나 여행사의 웹사이트를 통해 국내 외 항공권을 구입해 본 경험이 있는 소비자를 대상으로 실시하였는데, 총 400부가 회수되었고, 이 중 342부를 최종분석에 사용하였다. 실증분석을 위해 AMOS 7.0과 SPSS 15.0을 사용하였다. 먼저, SPSS 15.0을 사용하여, 요인점수를 이용한 회귀분석으로 가설검증을 한 결과, <가설 I-1, 2, 3, 4, II-1, 2, 3, III-1, IV-1>이 전부 채택되었다. 온라인 서비스 품질과 온라인 서비스 회복의 각 차원은 모두 전반적인 서비스 품질에 유의한 영향을 보였고, 전반적인 서비스 품질은 고객만족에 유의한 영향을 미쳤다. 마지막으로 고객만족 역시 충성의도에 유의한 영향을 미치는 것으로 확인되었다. 한편 AMOS 7.0을 사용하여 모형 분석을 하였는데, 모형의 적합도는 가설검증을 하기에 합당한 수치가 나왔다. 이를 토대로 가설검증을 한 결과, <가설 I-1, 3, II-1, 3, III-1, IV-1>은 채택되었고, <가설 I-2, 4, II-2>는 기각되었다. 이 결과는 Parasuraman et al.(2005)이 주장한 것처럼 E-S-QUAL을 나타내는 데는 요인점수를 이용한 회귀분석이 더 적합하다는 것을 보여주는 것이라고 판단된다. 이를 토대로 본 연구의 시사점을 정리하였다.