Suchergebnisse

Che 1-chang. Haek mugi wa kukche chŏngch'i / Pak Kŏn-yŏng -- Che 2-chang. Haek hwaksan ŭi ch'use vs.pihwaksan ŭi pangch'aek / Cho Tong-jun -- Che 3-chang. Haek mugi ŏmnŭn sesang / Han Yong-sŏp -- Che 4-chang. Kukche haek chilsŏ wa Ilbon ŭi kunch'uk mit pi hwaksan chŏngch'aek / Pak Yŏng-jun -- Che 5-chang. Han'guk ŭi haek pihwaksan oegyo wa wŏnjaryŏk chŏngch'aek / Yi Sang-hyŏn -- Che 6-chang. Haek p'yegi sarye yŏn'gu / Han In t'aek -- Che 7-chang. 21-segi pyŏnhwa chung ŭi Mi-Chung kwan'gye wa pukhaek munje / Kim Hŭng-gyu -- Che 8-chang. Pukhaek munje wa Tongbuga 6-cha Hoedam ŭi chijŏnghak / Kim Myŏng-sŏp -- Che 9-chang. Pukhaek hyŏpsang 20-yŏn ŭi p'yŏngka wa kyohun / Chŏn Pong-gŭn -- Che 10-chang. Pukhan ŭi haek hyŏpsang / Kim Kŭn-sik

ABSTRACTHow and why is the association between historical supplier performance and strategic relationship dissolution moderated by an unintentional but serious supplier error? Adopting Assimilation‐Contrast Theory, we propose that this moderation effect can be either negative or positive. As an empirical test, we collected and analyzed data from 256 sourcing professionals participating in a scenario‐based role‐playing experiment. After confirming experimental checks, we fitted a general linear mixed effects model to the data with appropriate controls. We find, ceteris paribus, that a critical‐component supplier with stellar historical performance is less likely to be terminated by the manufacturer than one with marginally‐acceptable historical performance. However, when a critical‐component supplier with stellar historical performance errs, its likelihood of being terminated by the manufacturer increases by a greater extent than when a supplier with marginally‐acceptable historical performance commits the same mistake. This positive supplier performance penalty effect contributes to the buyer‐supplier relationship dissolution literature by identifying how and why the deterrence to relationship dissolution typically engendered by stellar historical supplier performance does not hold. Our results have implications for how manufacturers should evaluate critical‐component suppliers and how critical‐component suppliers should manage ongoing strategic relationships with manufacturers.

Export is an important way to promote the innovation and growth of energy enterprises by learning new knowledge and technology. To explore the impact mechanism of energy enterprises' export behaviour on technological innovation, this article uses the micro data of 8,548 energy enterprises in the Chinese Industrial Enterprise Database from 2004 to 2007 for propensity score matching analysis, from the two dimensions of technological innovation willingness and technological innovation capability. The empirical results show that (a) the export behaviour of energy enterprises has a significant promotion effect on the technological innovation willingness and capability of energy enterprises; export behaviour has a continuous promotion effect on the technological innovation willingness of energy enterprises, and this promotion effect has gradually increased. There is a time lag in the promotion effect of export behaviour on the technological innovation capability of energy enterprises, and this promotion effect is gradually increasing. (b) Compared with non-state-owned energy enterprises, export behaviours have a more immediate effect on the technological innovation willingness of state-owned energy enterprises; compared with small and medium-sized energy enterprises, export behaviours have a more positive impact on the technological innovation willingness and capabilities of large energy enterprises.

The inaugural challenge of the 2016 Creative Construction Conference has posed two related questions on how many possible criticality constellations with different behaviors for delays and acceleration exist and how said constellations can occur for nonlinearly and monotonously progressing activities that have continuous relations. This paper systematically solves these questions by performing a thorough literature review, assembling theoretical foundations for link constellations, performing a computer simulation of all possible permutations, and providing a mathematical proof by contradiction. It is found that (for the initially assumed self-contained activities in a network schedule that exhibit only a linearly growing production), three newly hypothesized criticality constellations cannot exist. Nonlinear activity constellations with diverging or converging relative productivities are examined next. Lags in networks become buffers in linear schedules. It is found that a nonlinear curvature of the progress may induce middle-to-middle relations besides those between start and finish. If multiple curvatures are allowed, then partial segments can form relations, which increase the number of criticality constellations. This paper is extended from the 2017 Procedia Engineering conference version.

This article summarises the literature on regional innovation system (RIS) The study uses thirty-one Chinese provinces and cities as the unit of analysis. Subsequently, an empirical study is conducted using stochastic frontier analysis on unbalanced panel data covering 31 provinces. The empirical result shows that innovation performance of RISs differs greatly in the various provinces and cities analyzed. The average score of the national regional innovation performance is 0.4514, indicating that non-efficiency is very common in Chinese provinces and cities. There are various factors that should be considered to promote innovation performance of the RIS. These are openness of RISs, maturity of the technology market, collaboration of RISs and intellectual property protection. Interestingly the unique circumstances of the Chinese market show that enterprise technology input and government investments have a negative impact on the regional innovation performance.

PurposePrior studies on major customer relationships (i.e. embedded ties) focus mostly on the ties between a focal firm and its immediate customers, hindering the understanding of the influence of indirect ties (both upstream and downstream) on a focal firm's operational performance. In this study, the authors analyze how a focal firm's upstream and downstream connectedness and network location affect its productive efficiency.Design/methodology/approachUtilizing Compustat segment files, the authors constructed large-scale major customer networks covering the period 2007–2013. The authors applied a fixed-effect panel stochastic frontier model to conduct estimation. Moreover, the authors applied an endogenous panel stochastic frontier model to ensure the robustness of the main analysis.FindingsThe authors found that a focal firm's upstream and downstream connectedness both have a positive influence on a firm's productive efficiency, whereas a focal firm's centeredness in the major customer network has a negative influence on productive efficiency. Moreover, it was found that centeredness lessens the positive influences of upstream and downstream connectedness on productive efficiency. The post hoc analysis further confirmed that a focal firm's indirect ties, both upstream and downstream, positively influence a focal firm's productive efficiency.Originality/valueThis study contributes to the literature by evaluating the relative effectiveness of a focal firm's direct and indirect major customer ties, both upstream and downstream. More importantly, this study suggests potential exploitation–exploration trade-offs (i.e. productive efficiency vs. innovation) triggered by a firm's network location.

Purpose
The purpose of this study is to assess the validity and predictability of insights from the investment model (IM) in the context of strategic manufacturer–industrial supplier relationships. IM is a theoretical model in social psychology pertaining to interpersonal relationship discontinuity. This formal empirical test of IM in a different context supports vertical theory borrowing and minimizes the risk of committing atomistic fallacy.


Design/methodology/approach
Data collected from 256 sourcing professionals participating in a scenario-based role-playing experiment were analyzed via structural equation modeling. The authors also performed bootstrapping to assess indirect effects.


Findings
The IM is generally applicable to the context of interfirm relationship dissolution. Relative to the original context of interpersonal relationship dissolution, three nuances are detected: investment size as an antecedent has lowered prominence in influencing commitment; satisfaction level, quality of alternatives and investment size have non-orthogonal effects on commitment; and satisfaction level influences relationship continuity through and beyond commitment.


Research limitations/implications
The empirical findings broaden boundary conditions for IM insights. Beyond interpersonal relationship dissolution, the IM appears to also describe, explain and predict interfirm relationship dissolution.


Practical implications
Keeping the manufacturer satisfied is critical. Moreover, suppliers should be cautious when entering joint product development agreements.


Originality/value
This study appears to be among the first to formally validate the applicability of IM insights as they pertain to the dissolution of strategic manufacturer–industrial supplier relationships.